import pandas as pd
import pickle
import os
import numpy as np
from plotnine import *
import seaborn as sns
import matplotlib.pyplot as plt
import nltk
from textblob import TextBlob
from nltk.corpus import stopwords
from nltk.corpus import wordnet
from wordcloud import WordCloud
import re
from nltk.stem import WordNetLemmatizer
import heapq
from bs4 import BeautifulSoup
import lxml
import requests
import random
import collections
pd.set_option('display.max_rows',1000)
plt.style.use('ggplot')
%matplotlib inline
wd5 = '/Users/tmm/Documents/GitHub/STA160-Project/STA160-Jobs-Market-Project/Working/data'
os.chdir(wd5)
master_data_in = open('jobs_data.pickle', 'rb')
master_data = pickle.load(master_data_in)
master_data_in.close()
data_scientist_df_in = open('data_scientist_data.pickle', 'rb')
data_scientist_df = pickle.load(data_scientist_df_in)
data_scientist_df_in.close()
data_engineer_df_in = open('data_engineer_data.pickle', 'rb')
data_engineer_df = pickle.load(data_engineer_df_in)
data_engineer_df_in.close()
data_analyst_df_in = open('data_analyst_data.pickle', 'rb')
data_analyst_df = pickle.load(data_analyst_df_in)
data_analyst_df_in.close()
BI_df_in = open('BI_data.pickle', 'rb')
BI_df= pickle.load(BI_df_in)
BI_df_in.close()
master_data
| Search | Title | Description | Skills | Location | Cities | States | Latitude | Longitude | Min_Salary | Max_Salary | Mean_Salary | URL | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Data Scientist | Data Scientist | Are you a Data Scientist who has machine learn... | Statistics, Machine Learning, Applied Mathematics | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 100000 | 200000 | 150000 | https://www.cybercoders.com/data-scientist-job... |
| 1 | Data Scientist | Data Scientist | If you are a Data Scientist with 4+ years data... | Data Science, Machine Learning, R, Python, SQL... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 110000 | 175000 | 142500 | https://www.cybercoders.com/data-scientist-job... |
| 2 | Data Scientist | Data Scientist | If you are a Data Scientist with experience, p... | Statistics, Mathematics, Computer Science, Mac... | Woodland Hills, CA | Woodland Hills | CA | 34.165357 | -118.608975 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 3 | Data Scientist | Data Scientist | If you are a Data Scientist who enjoys buildin... | Python, Java, SQL (BigQuery/Oracle and Hive), ... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-job... |
| 4 | Data Scientist | Data Scientist | If you are a Data Scientist with experience, p... | R Language, Python, Datasets, SQL Queries | Austin, TX | Austin | TX | 30.267153 | -97.743061 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 5 | Data Scientist | Data Scientist | If you are a Data Scientist who has Python and... | Full Stack, Cassandra, ElasticSearch, Solr, Da... | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | 110000 | 150000 | 130000 | https://www.cybercoders.com/data-scientist-job... |
| 6 | Data Scientist | Data Scientist | If you are a Data Scientist with experience, p... | Machine Learning, Tensorflow, Statistical/Mach... | Bethesda, MD | Bethesda | MD | 38.984652 | -77.094709 | 100000 | 120000 | 110000 | https://www.cybercoders.com/data-scientist-job... |
| 7 | Data Scientist | Data Scientist | If you are a Data Scientist who enjoys develop... | Python, Java, SQL (BigQuery/Oracle and Hive), ... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-job... |
| 8 | Data Scientist | Data Scientist | Data Scientist - data mining, data sets, stati... | Data Mining, data sets, Statistical Modeling, ... | Plymouth Meeting, PA | Plymouth Meeting | PA | 40.102332 | -75.274347 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-job... |
| 9 | Data Scientist | Data Scientist | Data Scientist - Machine Learning, Python, Tab... | Machine Learning, Python, Tableau, Hadoop, R, ... | Trenton, NJ | Trenton | NJ | 40.220582 | -74.759717 | 130000 | 150000 | 140000 | https://www.cybercoders.com/data-scientist-job... |
| 10 | Data Scientist | Data Scientist | Data Scientist - SouthbayWe are creating a b2b... | Data Science, Machine Learning, Python, scalab... | Campbell, CA | Campbell | CA | 37.287165 | -121.949957 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 11 | Data Scientist | Data Scientist | If you are a Data Scientist with experience, p... | Machine Learning, Hadoop, Data Mining, R, Python | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 120000 | 175000 | 147500 | https://www.cybercoders.com/data-scientist-job... |
| 12 | Data Scientist | Data Scientist | If you are a Data Scientist with 3+ years expe... | econometric modeling, Statistical Modeling, Qu... | Pineville, NC | Pineville | NC | 35.083201 | -80.892296 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 13 | Data Scientist | Data Scientist | If you are a Data Scientist with a track recor... | Data Mining, SAS, Tableau, R, Python, SQL, Dat... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 100000 | 130000 | 115000 | https://www.cybercoders.com/data-scientist-job... |
| 14 | Data Scientist | Data Scientist | We are a rapidly growing, privately held compa... | Data Science Experience, numpy, Machine Learning | Calgary, AB | Calgary | AB | 51.048615 | -114.070846 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 15 | Data Scientist | Data Scientist | If you are a Data Scientist with experience, p... | Machine Learning, Python, R, SQL, Data Mining,... | Costa Mesa, CA | Costa Mesa | CA | 33.641216 | -117.918822 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 16 | Data Scientist | Data Scientist | If you are a Data Scientist with a track recor... | Data Mining, SAS, Tableau, R, Python, SQL, Dat... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 100000 | 140000 | 120000 | https://www.cybercoders.com/data-scientist-job... |
| 17 | Data Scientist | Data Scientist | Based about 15 minutes outside of Boston(Newto... | Machine Learning, Python, NLP Frameworks | Newton, MA | Newton | MA | 42.337041 | -71.209221 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-job... |
| 18 | Data Scientist | Data Scientist | Based in San Jose, CA and with teams internati... | Data Science, Machine Learning, Natural Langua... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-job... |
| 19 | Data Scientist | Data Scientist | If you are a Data Scientist with experience, p... | Machine Learning, Python, R, Data Mining, Data... | Grinnell, IA | Grinnell | IA | 41.743409 | -92.723246 | 70000 | 90000 | 80000 | https://www.cybercoders.com/data-scientist-job... |
| 20 | Data Scientist | Lead Data Scientist | Are you a Lead Data Scientist who has machine ... | Machine Learning, Python, Applied Mathematics | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 150000 | 200000 | 175000 | https://www.cybercoders.com/lead-data-scientis... |
| 21 | Data Scientist | Senior Data Scientist | If you are a Senior Data Scientist with strong... | Java, Hadoop, Python, NoSQL, AWS, Machine Lear... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 175000 | 225000 | 200000 | https://www.cybercoders.com/senior-data-scient... |
| 22 | Data Scientist | Senior Data Scientist | This is a very unique Data Science opportunity... | Data Science, Python, scikit.learn, Virtual En... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-data-scient... |
| 23 | Data Scientist | Senior Data Scientist | This is a very unique Data Science opportunity... | Data Science, Python, scikit.learn, Virtual En... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-data-scient... |
| 24 | Data Scientist | Senior Data Scientist | San Jose, CA, US- RELOCATION INCLUDED! Your ap... | Data Science, Applied Research, Hadoop/MapRedu... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scient... |
| 25 | Data Scientist | Sr. Data Scientist | Located in beautiful Berkeley, CA, we have a p... | Python/R/Julia, Formulating metrics for optimi... | Berkeley, CA | Berkeley | CA | 37.871593 | -122.272747 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-data-scientist-... |
| 26 | Data Scientist | Senior Data Scientist | This is a very unique Data Science opportunity... | Data Science, Python, scikit.learn, Virtual En... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-data-scient... |
| 27 | Data Scientist | Senior Data Scientist | Are you attracted to a role which is part teac... | Data Science, Python, scikit.learn, Virtual En... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-data-scient... |
| 28 | Data Scientist | Senior Data Scientist | Are you attracted to a role which is part teac... | Data Science, Python, scikit.learn, Bayesian I... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-data-scient... |
| 29 | Data Scientist | Data Scientist (Quantitative Finance) | If you are a Data Scientist with experience in... | Python, Machine Learning, neural networks, Ris... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 250000 | 185000 | https://www.cybercoders.com/data-scientist-qua... |
| 30 | Data Scientist | Data Scientist (Quantitative Finance) | If you are a Data Scientist with experience in... | Python, Machine Learning, neural networks, Ris... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-qua... |
| 31 | Data Scientist | Lead Data Scientist | If you are a Lead Data Scientist that is passi... | Python, Management, Machine Learning, Statisti... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 200000 | 160000 | https://www.cybercoders.com/lead-data-scientis... |
| 32 | Data Scientist | Lead Data Scientist | If you are a Lead Data Scientist that is passi... | Python, Management, Machine Learning, Statisti... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 150000 | 200000 | 175000 | https://www.cybercoders.com/lead-data-scientis... |
| 33 | Data Scientist | Data Scientist (Quantitative Finance) | If you are a Data Scientist with experience in... | Python, Machine Learning, neural networks, Ris... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-qua... |
| 34 | Data Scientist | Data Scientist (Quantitative Finance) | If you are a Data Scientist with experience in... | Python, Machine Learning, neural networks, Ris... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-qua... |
| 35 | Data Scientist | Senior Data Scientist | Senior Data Scientist - Machine Learning, Pyth... | Machine Learning, Python, Tableau, Hadoop, R, ... | Hazlet, NJ | Hazlet | NJ | 40.428953 | -74.165099 | 130000 | 150000 | 140000 | https://www.cybercoders.com/senior-data-scient... |
| 36 | Data Scientist | Chief Data Scientist | Chief Data Scientist - AI, Machine Learning, P... | Data Science, Machine Learning, Python, scalab... | Philadelphia, PA | Philadelphia | PA | 39.952584 | -75.165222 | Unknown | Unknown | Unknown | https://www.cybercoders.com/chief-data-scienti... |
| 37 | Data Scientist | Chief Data Scientist | Chief Data Scientist - AI, Machine Learning, P... | Data Science, Machine Learning, Python, scalab... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/chief-data-scienti... |
| 38 | Data Scientist | Data Scientist (Quantitative Finance) | If you are a Data Scientist with experience in... | Python, Machine Learning, neural networks, Ris... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 160000 | 140000 | https://www.cybercoders.com/data-scientist-qua... |
| 39 | Data Scientist | Senior Data Scientist | Location: San FranciscoSkills: 3+ years commer... | Machine Learning (INDUSTRY only not school), P... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 120000 | 200000 | 160000 | https://www.cybercoders.com/senior-data-scient... |
| 40 | Data Scientist | Data Scientist - Insurance | If you are a Data Scientist with experience, p... | Insurance Industry, Data Science, Text Analyti... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 175000 | 147500 | https://www.cybercoders.com/data-scientist-ins... |
| 41 | Data Scientist | Data Scientist (Smart Manufacturing) | Our commitment to R&D and expertise in materia... | Data Science, Machine Learning, Internet of th... | Elmira, NY | Elmira | NY | 42.089796 | -76.807734 | 100000 | 150000 | 125000 | https://www.cybercoders.com/data-scientist-sma... |
| 42 | Data Scientist | Senior Data Scientist | Are you a Stellar Data Scientist? Do you have... | Data Science, Artificial Intelligence, Statist... | Nashville, TN | Nashville | TN | 36.162664 | -86.781602 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scient... |
| 43 | Data Scientist | Senior Data Scientist | If you are a Senior Data Scientist with Python... | Machine Learning, Python, R | Pittsburgh, PA | Pittsburgh | PA | 40.440625 | -79.995886 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scient... |
| 44 | Data Scientist | Lead Data Scientist | RELOCATION TO NASHVILLE AVAILABLELocated in Na... | Data Science, Machine Learning, Natural Langua... | Nashville, TN | Nashville | TN | 36.162664 | -86.781602 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-data-scientis... |
| 45 | Data Scientist | Chief Data Scientist | If you are a Chief Data Scientist with SQL an... | Big Data, AWS, MongoDB, SQL | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 175000 | 200000 | 187500 | https://www.cybercoders.com/chief-data-scienti... |
| 46 | Data Scientist | Principle Data Scientist | If you are a Principle Data Scientist with exp... | Machine Learning, Big Data, Tensorflow, Speech... | Napa, CA | Napa | CA | 38.297538 | -122.286865 | Unknown | Unknown | Unknown | https://www.cybercoders.com/principle-data-sci... |
| 47 | Data Scientist | Chief Data Scientist | If you are a Chief Data Scientist with experie... | Machine Learning, Big Data, Tensorflow, Speech... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/chief-data-scienti... |
| 48 | Data Scientist | Marketing Data Scientist | If you are a Data Scientist with actual experi... | Full Stack, Cassandra, ElasticSearch, Solr, Da... | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | 110000 | 150000 | 130000 | https://www.cybercoders.com/marketing-data-sci... |
| 49 | Data Scientist | Senior Data Scientist | If you are a Senior Data Scientist with experi... | C++, Machine Learning, Data Mining | Bedford, MA | Bedford | MA | 42.490623 | -71.276009 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scient... |
| 50 | Data Scientist | Principal Data Scientist | If you are a Principal Data Scientist with exp... | Machine Learning, NLP, Deep Learning, AI, Big ... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | 200000 | 250000 | 225000 | https://www.cybercoders.com/principal-data-sci... |
| 51 | Data Scientist | Chief Data Scientist | If you are a Principal Data Scientist with exp... | Machine Learning, NLP, Deep Learning, AI, Big ... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | 200000 | 250000 | 225000 | https://www.cybercoders.com/chief-data-scienti... |
| 52 | Data Scientist | Senior Data Scientist | If you are a Senior Data Scientist with Scala,... | Machine Learning, Scala, Search Intent Optimiz... | Bellevue, WA | Bellevue | WA | 47.610150 | -122.201516 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scient... |
| 53 | Data Scientist | Lead Data Scientist | If you are a Lead Data Scientist with experien... | Machine Learning, NLP, Deep Learning, AI, Big ... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | 200000 | 250000 | 225000 | https://www.cybercoders.com/lead-data-scientis... |
| 54 | Data Scientist | Healthcare Data Scientist | We are a communication and technology company ... | SQL, R, Python, Frequentist, Bayesian | Knoxville, TN | Knoxville | TN | 35.960638 | -83.920739 | 80000 | 110000 | 95000 | https://www.cybercoders.com/healthcare-data-sc... |
| 55 | Data Scientist | Senior Data Scientist | If you are a Senior Data Scientist with Scala,... | Machine Learning, Scala, Search Intent Optimiz... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scient... |
| 56 | Data Scientist | Senior Data Scientist | We're a large financial company that specializ... | R, Python, SQL | Leawood, KS | Leawood | KS | 38.966673 | -94.616901 | 80000 | 100000 | 90000 | https://www.cybercoders.com/senior-data-scient... |
| 57 | Data Scientist | Data Scientist -Client Facing | If you are a Data Scientist with Client Facin... | Machine Learning, Customer Facing, SPARK, Pred... | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | 100000 | 175000 | 137500 | https://www.cybercoders.com/data-scientist-cli... |
| 58 | Data Scientist | Lead Data Scientist (Computer Vision) | If you are a Lead Data Scientist that is passi... | Python, Management, Machine Learning, Statisti... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 200000 | 160000 | https://www.cybercoders.com/lead-data-scientis... |
| 59 | Data Scientist | Senior Data Scientist - MACHINE LEARNING | Are you a Senior Data Scientist with a special... | Machine Learning, Python, Scala, or Java, Hado... | West Hollywood, CA | West Hollywood | CA | 34.090009 | -118.361744 | 100000 | 250000 | 175000 | https://www.cybercoders.com/senior-data-scient... |
| 60 | Data Scientist | Lead Data Scientist - NLP, Machine Learning | We are disrupting enterprise analytics and bus... | Hadoop/Spark/Hive, Quantitative Analysis, Pyth... | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | 100000 | 160000 | 130000 | https://www.cybercoders.com/lead-data-scientis... |
| 61 | Data Scientist | Data Scientist - FinTech - Fortune 100 | Based in SF, we are THE global leader in FinTe... | Credit Risk Modeling/Response models, Multivar... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-fin... |
| 62 | Data Scientist | Data Scientist - Python & Machine Learning | If you are a Data Scientist with Python experi... | Machine Learning, Python, pandas, numpy, Scipy... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 130000 | 175000 | 152500 | https://www.cybercoders.com/data-scientist-pyt... |
| 63 | Data Scientist | Data Scientist ** TS/SCI Clearance Required** | If you are a Data Scientist with TS/SCI Cleara... | analyze and interpret complex digital data, Da... | Chantilly, VA | Chantilly | VA | 38.894279 | -77.431099 | 100000 | 150000 | 125000 | https://www.cybercoders.com/data-scientist-ts-... |
| 64 | Data Scientist | Data Scientist ** TS/SCI Clearance Required** | If you are a Data Scientist with TS/SCI Cleara... | analyze and interpret complex digital data, Da... | Alexandria, VA | Alexandria | VA | 38.804836 | -77.046921 | 100000 | 150000 | 125000 | https://www.cybercoders.com/data-scientist-ts-... |
| 65 | Data Scientist | Data Scientist (R, Python, & SQL) | If you are a Data Scientist with experience, p... | Data Science or Engineering, Python, R, Machin... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 100000 | 175000 | 137500 | https://www.cybercoders.com/data-scientist-r-p... |
| 66 | Data Scientist | Data Scientist (Insurance) - Python, SAS, GLM | If you are a Data Scientist with experience, p... | Python, SAS, GLM, Actuarial Science | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 200000 | 350000 | 275000 | https://www.cybercoders.com/data-scientist-ins... |
| 67 | Data Scientist | Sr. Machine Learning Data Scientist - Big Dat... | Located in beautiful Berkeley, CA, we are a Da... | Python/R/Julia, Predictive Modeling and Analyt... | Berkeley, CA | Berkeley | CA | 37.871593 | -122.272747 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-machine-learnin... |
| 68 | Data Scientist | Lead Data Scientist - CNN, Deep Learning - REL... | Are you an Expert with Convolutional Neural Ne... | Machine Learning, Deep Learning, Data Science,... | West Hollywood, CA | West Hollywood | CA | 34.090009 | -118.361744 | 150000 | 250000 | 200000 | https://www.cybercoders.com/lead-data-scientis... |
| 69 | Data Scientist | Data Scientist - Medical Informatics & Disease... | If you are a Data Scientist with Python experi... | Machine Learning, Python, pandas, numpy, Scipy... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 130000 | 175000 | 152500 | https://www.cybercoders.com/data-scientist-med... |
| 70 | Data Scientist | Data Scientist - Fully Automated Risk Control ... | Based in the Financial District in SF, we are ... | Python, SQL, Tableau, SPARK, hBase, Kafka, Sta... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-scientist-ful... |
| 71 | Data Scientist | Lead Data Scientist - SAS, R, Hive/Pig, Hbase | Our Advanced Analytics and Emerging Technologi... | Pattern Recognition, Predictive Modeling, NoSQ... | Foster City, CA | Foster City | CA | 37.558546 | -122.271079 | 130000 | 160000 | 145000 | https://www.cybercoders.com/lead-data-scientis... |
| 72 | Data Engineer | Data Engineer | If you are a Data Engineer with experience, pl... | Python, ETL, AWS | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 100000 | 120000 | 110000 | https://www.cybercoders.com/data-engineer-job-... |
| 73 | Data Engineer | Data Engineer | If you are a Data Engineer looking for a new o... | Java, AWS, SPARK, Python, Hadoop, EMR, Scala | Raleigh, NC | Raleigh | NC | 35.779590 | -78.638179 | 100000 | 130000 | 115000 | https://www.cybercoders.com/data-engineer-job-... |
| 74 | Data Engineer | Data Engineer | If you are a Data Engineer looking for a new o... | Java, AWS, SPARK, Python, Hadoop, EMR, Scala | Raleigh, NC | Raleigh | NC | 35.779590 | -78.638179 | 100000 | 130000 | 115000 | https://www.cybercoders.com/data-engineer-job-... |
| 75 | Data Engineer | Data Engineer | If you are a Data Engineer looking for a new o... | Java, AWS, SPARK, Python, Hadoop, EMR, Scala | Raleigh, NC | Raleigh | NC | 35.779590 | -78.638179 | 100000 | 130000 | 115000 | https://www.cybercoders.com/data-engineer-job-... |
| 76 | Data Engineer | Data Engineer | If you are a talented Data Engineer, please re... | Large Data Sets, statistical and predictive mo... | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | 100000 | 140000 | 120000 | https://www.cybercoders.com/data-engineer-job-... |
| 77 | Data Engineer | Data Engineer | San Jose, CA, US- RELOCATION INCLUDED! Your ap... | Applied Research, Hadoop/MapReduce/Spark, Prog... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-job-... |
| 78 | Data Engineer | Data Engineer | If you are a Data Engineer with experience, pl... | Tableau, ETL, SQL, Automation Technologies, Un... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-job-... |
| 79 | Data Engineer | Data Engineer | If you are a Data Engineer with experience, pl... | Big Data, ADTECH, Hadoop, Scala, SPARK | Jersey City, NJ | Jersey City | NJ | 40.728157 | -74.077642 | 150000 | 175000 | 162500 | https://www.cybercoders.com/data-engineer-job-... |
| 80 | Data Engineer | Data Engineer | If you are a Data Engineer with experience, pl... | Hadoop, SQL, SPARK, Kafka | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-job-... |
| 81 | Data Engineer | Data Engineer | If you are a Data Engineer with experience, pl... | Hadoop, SQL, SPARK, Kafka | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-job-... |
| 82 | Data Engineer | Data Engineer | If you are a Data Engineer, Database Developer... | Python, MySQL, Pentaho | Carlsbad, CA | Carlsbad | CA | 33.158093 | -117.350594 | 80000 | 120000 | 100000 | https://www.cybercoders.com/data-engineer-job-... |
| 83 | Data Engineer | Data Engineer | If you are a Data Engineer with experience, pl... | Go, Python, Java, C#, C++, Scala, Kotlin | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-job-... |
| 84 | Data Engineer | Data Developer | If you are a Data Developer with experience, p... | ETL, SQL, Database Development, Database Desig... | Grinnell, IA | Grinnell | IA | 41.743409 | -92.723246 | 65000 | 100000 | 82500 | https://www.cybercoders.com/data-developer-job... |
| 85 | Data Engineer | Data Engineer | San Jose, CA, US- RELOCATION INCLUDED! Your ap... | Applied Research, Hadoop/MapReduce/Spark, Prog... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-job-... |
| 86 | Data Engineer | Senior Python Data Engineer | If you are a Senior Python Data Engineer with ... | Python, AWS, ETL, Mapreduce, Redshift, Lambda,... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-python-data... |
| 87 | Data Engineer | Senior Data Engineer | If you are a Software Engineer with a Top Secr... | Java, Hadoop, Cloudera, MarkLogic | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | 75000 | 200000 | 137500 | https://www.cybercoders.com/senior-data-engine... |
| 88 | Data Engineer | Senior Big Data Engineer | If you are a Senior Big Data Engineer skilled ... | Hadoop, Mapreduce, SPARK, ElasticSearch, Java,... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 150000 | 200000 | 175000 | https://www.cybercoders.com/senior-big-data-en... |
| 89 | Data Engineer | Senior Data Engineer | Are you a Senior Data Engineer with Data Pipel... | Data Pipeline, Python, Machine Learning | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 250000 | 200000 | https://www.cybercoders.com/senior-data-engine... |
| 90 | Data Engineer | Lead Data Engineer | Are you a Lead Data Engineer with extensive hi... | SPARK, Kafka, Druid | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | 140000 | 175000 | 157500 | https://www.cybercoders.com/lead-data-engineer... |
| 91 | Data Engineer | Lead Data Engineer | If you are a Data Engineer with team leadershi... | MY SQL, MongoDB, Data Warehouse Architecture, ... | Boston, MA | Boston | MA | 42.360082 | -71.058880 | 150000 | 250000 | 200000 | https://www.cybercoders.com/lead-data-engineer... |
| 92 | Data Engineer | Lead Data Engineer | If you are a Data Engineer with team leadershi... | MY SQL, MongoDB, Data Warehouse Architecture, ... | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | 120000 | 200000 | 160000 | https://www.cybercoders.com/lead-data-engineer... |
| 93 | Data Engineer | Senior Data Engineer | Located in a beautiful office in Culver City, ... | SPARK, Airflow, Redshift, Python | Culver City, CA | Culver City | CA | 34.021122 | -118.396467 | 140000 | 175000 | 157500 | https://www.cybercoders.com/senior-data-engine... |
| 94 | Data Engineer | Python Data Engineer | We are seeking a talented Python Data Engineer... | Python, Data Engineering, Data Systems (Spark/... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 200000 | 175000 | https://www.cybercoders.com/python-data-engine... |
| 95 | Data Engineer | Sr. Data Engineer | If you are a Sr. Data Engineer with experience... | Healthcare/ Defense/Telecommunications Industr... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-data-engineer-j... |
| 96 | Data Engineer | Senior Data Engineer | Are you a Senior Data Engineer that wants to l... | Python, AWS, Redshift, ETL, Hadoop, SPARK, Hiv... | Venice, CA | Venice | CA | 33.985047 | -118.469483 | 140000 | 175000 | 157500 | https://www.cybercoders.com/senior-data-engine... |
| 97 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with experie... | Data Pipelines, Datat Structures, AWS/Cloud In... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 160000 | 200000 | 180000 | https://www.cybercoders.com/senior-data-engine... |
| 98 | Data Engineer | Big Data Developer | Disruptive. Game Changer. Truly innovative. Th... | Python, Scala, Unix Command Line, Large-Scale ... | Charleston, SC | Charleston | SC | 32.776475 | -79.931051 | 90000 | 150000 | 120000 | https://www.cybercoders.com/big-data-developer... |
| 99 | Data Engineer | Big Data Developer | Disruptive. Game Changer. Truly innovative. Th... | Python, Scala, Unix Command Line, Large-Scale ... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 175000 | 147500 | https://www.cybercoders.com/big-data-developer... |
| 100 | Data Engineer | Remote-Data Engineer | ALL CANDIDATES MUST FILL OUT THE SKILLS AND QU... | UML, Hadoop/Pig/Hive, SQL/NoSQL, EC2/S3/Dynamo... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 130000 | 175000 | 152500 | https://www.cybercoders.com/remote-data-engine... |
| 101 | Data Engineer | Remote- Data Engineer | ALL CANDIDATES MUST FILL OUT THE SKILLS AND QU... | UML, Hadoop/Pig/Hive, SQL/NoSQL, EC2/S3/Dynamo... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 130000 | 175000 | 152500 | https://www.cybercoders.com/remote-data-engine... |
| 102 | Data Engineer | Python Data Engineer | If you are a Python Data Engineer with experie... | Python, SPARK, Hadoop, ElasticSearch, Cascadin... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 200000 | 175000 | https://www.cybercoders.com/python-data-engine... |
| 103 | Data Engineer | Senior Data Engineer | If you are a Senior or Lead Data Engineer with... | SPARK, Kafka, Hadoop, Hive, Airflow, Java, Sca... | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | 160000 | 200000 | 180000 | https://www.cybercoders.com/senior-data-engine... |
| 104 | Data Engineer | Big Data Engineer | If you are a Big Data Engineer with experience... | Hadoop, Hive, Mapreduce, yarn, Kafka, Pig, Ooz... | Saint Louis, MO | Saint Louis | MO | 38.627003 | -90.199404 | 90000 | 110000 | 100000 | https://www.cybercoders.com/big-data-engineer-... |
| 105 | Data Engineer | Senior Data Engineer | We are seeking a talented Data Engineer to joi... | Python, Data Engineering, Data Systems (Spark/... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 130000 | 175000 | 152500 | https://www.cybercoders.com/senior-data-engine... |
| 106 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with ETL, SQ... | ETL, SQL, Big Data | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 107 | Data Engineer | Senior Data Engineer | The worlds largest consumer electronics compan... | Machine Learning, SPARK, Scala, C++, Python, S... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 108 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with ETL, SQ... | ETL, SQL, Big Data | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 109 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with Machin... | Machine Learning, Artificial Intelligence, Sca... | Malvern, PA | Malvern | PA | 40.036218 | -75.513812 | 120000 | 150000 | 135000 | https://www.cybercoders.com/senior-data-engine... |
| 110 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with Python,... | Machine Learning, Python, R | Pittsburgh, PA | Pittsburgh | PA | 40.440625 | -79.995886 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 111 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with Python,... | Python, SQL, Tableau | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 112 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with experie... | Data Structures, Algorithms, Systems Behavior,... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 113 | Data Engineer | Senior Data Engineer | If you are a Senior Data Engineer with experie... | Data Structures/Algorithms/Systems, Interconne... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 114 | Data Engineer | Big Data Engineer | If you are a Big Data Engineer with experience... | ElasticSearch, Cassandra, Hadoop, AWS, EC2, S3... | Waterloo, ON | Waterloo | ON | 43.464258 | -80.520410 | 90000 | 130000 | 110000 | https://www.cybercoders.com/big-data-engineer-... |
| 115 | Data Engineer | Senior Data Engineer | If you are a Data Engineer with cloud computin... | Data Structures, Machine Learning Algorithms, ... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-engine... |
| 116 | Data Engineer | Python Data Engineer | Direct hire opportunity for a Data Engineer wi... | Python, Data Engineering, Data pipelining, AWS... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | Unknown | Unknown | Unknown | https://www.cybercoders.com/python-data-engine... |
| 117 | Data Engineer | Data Engineer (Python, API) | Based in NYC, we are a well-funded enterprise ... | SQL, Data Modeling, Data Analytics & Visualiza... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 90000 | 110000 | 100000 | https://www.cybercoders.com/data-engineer-pyth... |
| 118 | Data Engineer | Senior Data Engineer / Architect | If you consider yourself an A+ Senior/Lead Dat... | Python, SPARK, ETL | Venice, CA | Venice | CA | 33.985047 | -118.469483 | 150000 | 200000 | 175000 | https://www.cybercoders.com/senior-data-engine... |
| 119 | Data Engineer | Data Engineer (Pentaho/ETL/Python) | If you are a Data Engineer with Pentaho experi... | Python, Java, SQL (BigQuery/Oracle and Hive), ... | Culver City, CA | Culver City | CA | 34.021122 | -118.396467 | 100000 | 150000 | 125000 | https://www.cybercoders.com/data-engineer-pent... |
| 120 | Data Engineer | Senior Data Engineer (IoT, Embedded) | If you are a Senior Data Engineer with experie... | Embedded, AI, IOT, AWS, Node.js, Network Secur... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 95000 | 175000 | 135000 | https://www.cybercoders.com/senior-data-engine... |
| 121 | Data Engineer | Big Data Engineer - Master Data Management | If you are a Big Data Engineer with experience... | Master Data Management, PostgreSQL, SQL progra... | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | 100000 | 150000 | 125000 | https://www.cybercoders.com/big-data-engineer-... |
| 122 | Data Engineer | Senior Big Data Engineer - Hadoop/Kafka | If you are a Senior Big Data Developer with ex... | PHP, Java, Hadoop, Kafka, AWS, Python | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 130000 | 175000 | 152500 | https://www.cybercoders.com/senior-big-data-en... |
| 123 | Data Engineer | Big Data Engineer (ETL/AWS/Python) | If you are a Big Data Engineer who enjoys buil... | Python, Java, SQL (BigQuery/Oracle and Hive), ... | Van Nuys, CA | Van Nuys | CA | 34.189857 | -118.451357 | 110000 | 150000 | 130000 | https://www.cybercoders.com/big-data-engineer-... |
| 124 | Data Engineer | Big Data Engineer - Scala, Hadoop, Spark | If you are a Big Data Engineer with Scala, Had... | Big Data, Scala, Hadoop, Data Mining, Kafka, G... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | 130000 | 175000 | 152500 | https://www.cybercoders.com/big-data-engineer-... |
| 125 | Data Engineer | Big Data Engineer - Scala, Hadoop, Spark | If you are a Big Data Engineer with Scala, Had... | Big Data, Scala, Hadoop, Data Mining, Kafka, G... | Mountain View, CA | Mountain View | CA | 37.386052 | -122.083851 | 130000 | 175000 | 152500 | https://www.cybercoders.com/big-data-engineer-... |
| 126 | Data Engineer | Lead Data Engineer - Machine Learning and AI | If you are a Lead Data Engineer with Machine ... | Data Science, Big Data, Machine Learning, Arti... | Malvern, PA | Malvern | PA | 40.036218 | -75.513812 | 120000 | 150000 | 135000 | https://www.cybercoders.com/lead-data-engineer... |
| 127 | Data Engineer | Big Data Engineer - Scala, Hadoop, Spark | If you are a Big Data Engineer with Scala, Had... | Big Data, Scala, Hadoop, Data Mining, Kafka, G... | Austin, TX | Austin | TX | 30.267153 | -97.743061 | 130000 | 175000 | 152500 | https://www.cybercoders.com/big-data-engineer-... |
| 128 | Data Engineer | Senior Data Engineer (Distributed Systems, Jav... | If you are a Software Engineer, who enjoys wor... | Java, Go, C++, Zookeeper, Dropwizard, Kafka, C... | Austin, TX | Austin | TX | 30.267153 | -97.743061 | 120000 | 140000 | 130000 | https://www.cybercoders.com/senior-data-engine... |
| 129 | Data Engineer | Data Engineer - Paid Relocation to Seattle, WA | If you are a Data Engineer with experience, pl... | Go, Python, Java, C#, C++, Scala, Kotlin | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-engineer-paid... |
| 130 | Data Engineer | Senior Data Engineer (Distributed Systems, Jav... | If you are a Software Engineer, who enjoys wor... | Java, Go, Zookeeper, Dropwizard, Kafka, Cassan... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 130000 | 175000 | 152500 | https://www.cybercoders.com/senior-data-engine... |
| 131 | Data Engineer | Senior Data Engineer (Distributed Systems, Jav... | If you are a Software Engineer, who enjoys wor... | Java, Go, Zookeeper, Dropwizard, Kafka, Cassan... | Durham, NC | Durham | NC | 35.994033 | -78.898619 | 100000 | 130000 | 115000 | https://www.cybercoders.com/senior-data-engine... |
| 132 | Data Engineer | Sr Data Infrastructure Engineer | Are you are a Sr Data Infrastructure Engineer ... | Data delivery and streaming systems (Kafka/Sto... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 140000 | 200000 | 170000 | https://www.cybercoders.com/sr-data-infrastruc... |
| 133 | Data Engineer | Sr. Data Warehouse Engineer | Based in North Hollywood, CA we are a well est... | SQL Server, Database Design, Ssis, Big Data to... | North Hollywood, CA | North Hollywood | CA | 34.187044 | -118.381256 | 120000 | 150000 | 135000 | https://www.cybercoders.com/sr-data-warehouse-... |
| 134 | Data Engineer | Data Analytics Engineer | If you are a Data Scientist with experience, p... | Quantitative Analysis / Analytics, Statistical... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-analytics-eng... |
| 135 | Data Engineer | Senior Data Warehouse Developer | If you are a Senior Data Warehouse Developer w... | ETL, SQL, Big Data | Washington, DC | Washington | DC | 38.907192 | -77.036871 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-wareho... |
| 136 | Data Engineer | Data Warehouse Engineer | If you are a Data Warehouse Engineer with expe... | SQL, Ssrs, SSAS, Ssis | Indianapolis, IN | Indianapolis | IN | 39.768403 | -86.158068 | 35000 | Unknown | 17500 | https://www.cybercoders.com/data-warehouse-eng... |
| 137 | Data Engineer | Big Data Engineer: Big O Notation Required | If you are a Big Data Engineer with Big O nota... | Big Data, Big O Notation, Scala, Hadoop, Data ... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | Unknown | Unknown | Unknown | https://www.cybercoders.com/big-data-engineer-... |
| 138 | Data Engineer | Lead Big Data Engineer (DoD security clearance... | If you are a Lead Big Data Engineer with a DoD... | Big Data, Architecture, Hadoop | Reston, VA | Reston | VA | 38.958631 | -77.357003 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-big-data-engi... |
| 139 | Data Engineer | Senior Big Data Engineer -- Java, Hadoop, Spark | If you are a Senior Software Engineer with exp... | Java, Python, SQL Relational Database, Hadoop ... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 150000 | 175000 | 162500 | https://www.cybercoders.com/senior-big-data-en... |
| 140 | Data Engineer | Senior Data Engineer | Need 3+ Years of INDUST... | If you are a Senior Data Engineer with over 3 ... | Redshift, Vertica, Mapreduce, Pig, Hive, SPARK... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 200000 | 175000 | https://www.cybercoders.com/senior-data-engine... |
| 141 | Data Engineer | Senior Machine Learning Engineer | We harness the power of machine learning and p... | Machine Learning, Natural Language Processing,... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 175000 | 250000 | 212500 | https://www.cybercoders.com/senior-machine-lea... |
| 142 | Data Engineer | Solutions Sales Engineer | If you are a Solutions Sales Engineer with exp... | Sales Engineering, IOT, Data Engineer- Hadoop/... | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | Unknown | Unknown | Unknown | https://www.cybercoders.com/solutions-sales-en... |
| 143 | Data Engineer | Data Architect/Engineer (Walking Distance to B... | If you are a Data Architect with over three ye... | Hadoop, Pipeline Infrastructure, Pig, Hive, SP... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 200000 | 175000 | https://www.cybercoders.com/data-architect-eng... |
| 144 | Data Engineer | Senior Data Engineer ($200k - 300k) - SMACK St... | If you are a Senior Data Engineer ($200k - 300... | Smack Stack, Scala, Amazon Web Services (AWS) | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 200000 | 300000 | 250000 | https://www.cybercoders.com/senior-data-engine... |
| 145 | Data Engineer | Big Data Software Engineer - TS SCI with CI Po... | If you are a Big Data Software Engineer - TS S... | Big Data, TS/SCI, CI polygraph, Hadoop | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | Unknown | Unknown | Unknown | https://www.cybercoders.com/big-data-software-... |
| 146 | Data Engineer | Big Data Software Engineer - Hadoop, Kafka, Cl... | POSITION REQUIRES AN ACTIVE TOP SECRET CLEARAN... | Hadoop, Java, Linux, Bash/Perl scripting, Apac... | Reston, VA | Reston | VA | 38.958631 | -77.357003 | Unknown | Unknown | Unknown | https://www.cybercoders.com/big-data-software-... |
| 147 | Data Engineer | Software Developer - Big Data | If you are a Software Developer with Big Data ... | Big Data, Data Ingestion, Data Transformation | Austin, TX | Austin | TX | 30.267153 | -97.743061 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-developer... |
| 148 | Data Engineer | Senior Java Engineer - Big Data | If you are a phenomenal Java coder looking for... | Core Java, Big Data, Web programming, cloud pl... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | 120000 | 130000 | 125000 | https://www.cybercoders.com/senior-java-engine... |
| 149 | Data Engineer | Software Engineer (Clearance Required) | Seeking talented Software Engineers with TS/SC... | Software Development, Python, Java, Linux, AWS... | Rockville, MD | Rockville | MD | 39.083997 | -77.152758 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 150 | Data Engineer | Senior Engineer and Data Architect | If you are a Senior Engineer and Data Architec... | Java, J2EE, Machine Learning, Big Data, R, Pyt... | Troy, MI | Troy | MI | 42.606409 | -83.149775 | 120000 | 140000 | 130000 | https://www.cybercoders.com/senior-engineer-an... |
| 151 | Data Engineer | Senior Engineer and Data Architect | If you are a Senior Engineer and Data Architec... | Java, J2EE, Machine Learning, Big Data, R, Pyt... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 150000 | 175000 | 162500 | https://www.cybercoders.com/senior-engineer-an... |
| 152 | Data Engineer | Product Engineer - Big Data | If you are a Big Data Product Engineer with ex... | Big Data/HPC Programming, Java, C/C++/C++11, S... | Mountain View, CA | Mountain View | CA | 37.386052 | -122.083851 | 120000 | 175000 | 147500 | https://www.cybercoders.com/product-engineer-b... |
| 153 | Data Engineer | Data Analytics Software Engineer - Hadoop, Pyt... | If you are a Software Engineer with back-end d... | Python, AWS, PHP, Hadoop, Cassandra, cloud pla... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 80000 | 130000 | 105000 | https://www.cybercoders.com/data-analytics-sof... |
| 154 | Data Engineer | Python Developer- Big Data | If you are a Python Developer with experience ... | Python, C++, Big Data, Kafka, SPARK, Docker, C... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | 95000 | 160000 | 127500 | https://www.cybercoders.com/python-developer-b... |
| 155 | Data Engineer | NetApp/ Data Center Consulting Systems Engineer | An established IT Solutions Provider is seekin... | Data Center Solutions, NetApp, VMWare, Cisco, ... | Reston, VA | Reston | VA | 38.958631 | -77.357003 | Unknown | Unknown | Unknown | https://www.cybercoders.com/netapp-data-center... |
| 156 | Data Engineer | NetApp/ Data Center Consulting Systems Engineer | An established IT Solutions Provider is seekin... | Data Center Solutions, NetApp, VMWare, Cisco, ... | Washington, DC | Washington | DC | 38.907192 | -77.036871 | Unknown | Unknown | Unknown | https://www.cybercoders.com/netapp-data-center... |
| 157 | Data Engineer | NetApp/ Data Center Consulting Systems Engineer | An established IT Solutions Provider is seekin... | Data Center Solutions, NetApp, VMWare, NCDA, N... | Bowie, MD | Bowie | MD | 39.006777 | -76.779136 | Unknown | Unknown | Unknown | https://www.cybercoders.com/netapp-data-center... |
| 158 | Data Engineer | Senior GUI Developer (Enterprise, Widgets, Dat... | If you are a Senior GUI Developer (Enterprise,... | Widget design, JavaScript, UX, HTML5, CSS3, RE... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 160000 | 175000 | 167500 | https://www.cybercoders.com/senior-gui-develop... |
| 159 | Data Engineer | Cisco Data Center / Network Consulting Engineer | Technology Solutions Provider focused on Next ... | Cisco R/S, Cisco Data Center Solutions, UCS, N... | Dunwoody, GA | Dunwoody | GA | 33.946213 | -84.334647 | Unknown | Unknown | Unknown | https://www.cybercoders.com/cisco-data-center-... |
| 160 | Data Engineer | Senior Software Development Engineer - Data, H... | We're helping people send over $3 billion arou... | Data Engineering, Data Visualization, Hadoop, ... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-software-de... |
| 161 | Data Engineer | Senior Software Engineer -- Java, Big Data | If you are a Senior Software Engineer with exp... | Java, Python, SQL Relational Database, Hadoop ... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 140000 | 160000 | 150000 | https://www.cybercoders.com/senior-software-en... |
| 162 | Data Engineer | Senior Software Engineer - Data Distribution | If you are a Senior Software Engineer experien... | Systems Programming, C++, Python, Object Stora... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 175000 | 225000 | 200000 | https://www.cybercoders.com/senior-software-en... |
| 163 | Data Engineer | C++ Senior Software Engineer - Data Distribution | If you are a Senior Software Engineer experien... | Systems Programming, C++, Python, Object Stora... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 175000 | 225000 | 200000 | https://www.cybercoders.com/c-plus-plus-senior... |
| 164 | Data Engineer | Software Engineer (Infrastructure/Tools) - Dat... | If you are a Software Engineer - Infrastructur... | Python, Java, Go, Unix, Linux, Cloud, AWS | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 130000 | 175000 | 152500 | https://www.cybercoders.com/software-engineer-... |
| 165 | Data Engineer | Software Engineer (Big Data, Python, AWS) | Based in Manhattan (Union Square Park area), w... | AWS, Big Data, Python, Production Level Coding | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 100000 | 175000 | 137500 | https://www.cybercoders.com/software-engineer-... |
| 166 | Data Engineer | Java Big Data Pipeline Software Engineer | If you are a Java Big Data Pipeline Software E... | Data Pipelines, Java, Kafka | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/java-big-data-pipe... |
| 167 | Data Engineer | Senior Software Engineer - Linux Big Data | If you are a Senior Software Engineer experien... | C++, Data Storage, Network File System, Storag... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 175000 | 225000 | 200000 | https://www.cybercoders.com/senior-software-en... |
| 168 | Data Engineer | Software Engineer (Big Data, Python, AWS) | Based in Manhattan (Union Square Park area), w... | AWS, Big Data, Python, Production Level Coding | Manhattan, NY | Manhattan | NY | 40.783060 | -73.971249 | 100000 | 175000 | 137500 | https://www.cybercoders.com/software-engineer-... |
| 169 | Data Engineer | Senior Software Engineer, Big Data | If you are a Senior Software Engineer coming f... | Java, Scala, SPARK, Hadoop, Distributed System... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 140000 | 175000 | 157500 | https://www.cybercoders.com/senior-software-en... |
| 170 | Data Engineer | Python Developer | If you are a Python Developer with experience,... | Python, AWS, Big Data Solution | Bethesda, MD | Bethesda | MD | 38.984652 | -77.094709 | Unknown | Unknown | Unknown | https://www.cybercoders.com/python-developer-j... |
| 171 | Data Engineer | Solution Architect | Solution Architect - Presales Engineer, Infras... | Presales Engineer, Infrastructure, Data Manage... | Fairfield, CT | Fairfield | CT | 41.140836 | -73.261262 | 120000 | 200000 | 160000 | https://www.cybercoders.com/solution-architect... |
| 172 | Data Engineer | Java UI Developer (UI ties into and pulls real... | JAVA UI Engineer - Building UI for Stock Tradi... | Java, UI Development, YUI, / JSF / Java Server... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 95000 | 150000 | 122500 | https://www.cybercoders.com/java-ui-developer-... |
| 173 | Data Engineer | Machine Learning Engineer -- Big Data / Analyt... | Based in San Mateo(right near the closest trai... | Machine Learning, Big Data analytics, Java, Py... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 100000 | 150000 | 125000 | https://www.cybercoders.com/machine-learning-e... |
| 174 | Data Engineer | Senior Java Engineer (Spring, Hibernate) - Dat... | If you are a Senior Java Engineer with experie... | Java, Spring Boot, Hibernate, AWS, Cloud, Unit... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 140000 | 160000 | 150000 | https://www.cybercoders.com/senior-java-engine... |
| 175 | Data Engineer | Sr. Cisco Data Center / Network Consulting Arc... | Technology Solutions Provider focused on Next ... | Cisco R/S, Cisco Data Center Solutions, UCS, N... | Dallas, TX | Dallas | TX | 32.776664 | -96.796988 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-cisco-data-cent... |
| 176 | Data Engineer | Sr. Software Test Engineer - Data Monitoring S... | If you are a Senior Software Test Engineer wit... | Java, Python, Go, Test Frameworks (home grown)... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 130000 | 175000 | 152500 | https://www.cybercoders.com/sr-software-test-e... |
| 177 | Data Engineer | Sr. Software Test Engineer - Data Monitoring P... | If you are a Senior Software Test Engineer wit... | Java, Python, Go, Test Frameworks (home grown)... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 130000 | 175000 | 152500 | https://www.cybercoders.com/sr-software-test-e... |
| 178 | Data Engineer | Network/Cloud Engineer - voice & data solution... | If you are a Hybrid Network/ Cloud Engineer wi... | Networking, Cloud Computing, Routers, Switches... | Dallas, TX | Dallas | TX | 32.776664 | -96.796988 | 120000 | 140000 | 130000 | https://www.cybercoders.com/network-cloud-engi... |
| 179 | Data Engineer | Python Developer | If you are a Python Developer with experience,... | Python, AWS, Big Data Solution, RESTful APIs | Bethesda, MD | Bethesda | MD | 38.984652 | -77.094709 | 100000 | 130000 | 115000 | https://www.cybercoders.com/python-developer-j... |
| 180 | Data Engineer | Sr. Software Developer - C++/Python (Cloud/Big... | Located in beautiful Los Angeles, CA, we're br... | Software Development in C++, Python, Linux, Cl... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-software-develo... |
| 181 | Data Engineer | Software Engineer (Infrastructure/Tools/DevOp)... | If you are a Software Engineer - Infrastructur... | Python, Java, Go, Unix, Linux, Cloud, AWS | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 130000 | 175000 | 152500 | https://www.cybercoders.com/software-engineer-... |
| 182 | Data Engineer | iOS Developer | If you are an iOS Developer with experience, p... | Objective-C, iOS Development, Cocoa, Core Data... | Reston, VA | Reston | VA | 38.958631 | -77.357003 | 120000 | 140000 | 130000 | https://www.cybercoders.com/ios-developer-job-... |
| 183 | Data Engineer | Software Engineer | If you are a Software Engineer with Java exper... | Java, SQL, JavaScript, AWS, Hadoop/Big Data | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 80000 | 130000 | 105000 | https://www.cybercoders.com/software-engineer-... |
| 184 | Data Engineer | Senior ETL Developer | As one of the premier companies in Las Vegas. ... | Informatica, SQL, ETL Development, Teradata, D... | Las Vegas, NV | Las Vegas | NV | 36.169941 | -115.139830 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-etl-develop... |
| 185 | Data Engineer | Database Engineer | If you are an experienced Database Engineer lo... | SQL, Data Modeling, Performance Tuning, Disast... | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | 120000 | 140000 | 130000 | https://www.cybercoders.com/database-engineer-... |
| 186 | Data Engineer | Ruby Developer | Located in San Jose. If you are a Ruby Develop... | RUBY, Web Application Development, Data Modeli... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/ruby-developer-job... |
| 187 | Data Engineer | DevOps Engineer | If you are a DevOps Engineer with experience, ... | Data Science, Machine Learning, R, Python, SQL... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 110000 | 175000 | 142500 | https://www.cybercoders.com/devops-engineer-jo... |
| 188 | Data Engineer | Front End Engineer | Job Title: Front End EngineerLocation: Tampa, ... | JavaScript, SaaS, Bootstrap, React or Angular,... | Tampa, FL | Tampa | FL | 27.950575 | -82.457178 | 65000 | 110000 | 87500 | https://www.cybercoders.com/front-end-engineer... |
| 189 | Data Engineer | Full Stack Engineer | If you are a Full Stack Engineer with experien... | Python, JavaScript, Backbone.JS, JQuery, Angul... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 110000 | 130000 | 120000 | https://www.cybercoders.com/full-stack-enginee... |
| 190 | Data Engineer | UI Developer | If you are a UI Developer with experience, ple... | JavaScript, REACT, CSS3, HTML5, Hadoop, Scala,... | Jersey City, NJ | Jersey City | NJ | 40.728157 | -74.077642 | 90000 | 120000 | 105000 | https://www.cybercoders.com/ui-developer-job-4... |
| 191 | Data Engineer | SQL Developer | If you are a SQL Developer with experience, pl... | T-SQL, SQL, SQL Server, C#, XML, Database Desi... | Roseville, CA | Roseville | CA | 38.752124 | -121.288006 | 80000 | 100000 | 90000 | https://www.cybercoders.com/sql-developer-job-... |
| 192 | Data Engineer | Salesforce Engineer | If you are a Salesforce Engineer with extensiv... | Develop high quality code using APEX, Java, De... | Northridge, CA | Northridge | CA | 34.238125 | -118.530123 | 100000 | 140000 | 120000 | https://www.cybercoders.com/salesforce-enginee... |
| 193 | Data Engineer | Senior Java Developer -Partial Remote | If you are a Senior Java Developer -Partial Re... | Java, Spring, Big Data | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-java-develo... |
| 194 | Data Engineer | Software Developer | If you are a C/C++ Software Developer with exp... | CAD development, C/C++, Windows, Parasolid, ad... | Huntsville, AL | Huntsville | AL | 34.730369 | -86.586104 | 90000 | 130000 | 110000 | https://www.cybercoders.com/software-developer... |
| 195 | Data Engineer | Database Developer | If you are a Database Developer with DBA with ... | SQL Server, Dba, T-SQL, Performance Tuning, De... | Huntersville, NC | Huntersville | NC | 35.410694 | -80.842850 | 75000 | 95000 | 85000 | https://www.cybercoders.com/database-developer... |
| 196 | Data Engineer | Sr. Machine Learning Engineer | Based in Torrance, we are privately owned Heal... | Machine Learning, Predictive Analytics, Big Data | Torrance, CA | Torrance | CA | 33.835849 | -118.340629 | 120000 | 160000 | 140000 | https://www.cybercoders.com/sr-machine-learnin... |
| 197 | Data Engineer | Senior Java Developer | If you are a senior java developer with experi... | Java, Software Development, Spring, Hibernate,... | Manchester, NH | Manchester | NH | 42.995640 | -71.454789 | 120000 | 150000 | 135000 | https://www.cybercoders.com/senior-java-develo... |
| 198 | Data Engineer | Senior Full Stack Engineer | If you are a Senior Full Stack Engineer with e... | Java, JavaScript, Spring, Angular/React, Big Data | Washington, DC | Washington | DC | 38.907192 | -77.036871 | 130000 | 175000 | 152500 | https://www.cybercoders.com/senior-full-stack-... |
| 199 | Data Engineer | Senior Java Developer | If you are a senior java developer with experi... | Java, Software Development, Spring, Hibernate,... | Manchester, NH | Manchester | NH | 42.995640 | -71.454789 | 100000 | 130000 | 115000 | https://www.cybercoders.com/senior-java-develo... |
| 200 | Data Engineer | Lead Full Stack Engineer | If you are an experienced Full Stack Engineer ... | Java, JavaScript, Spring, Angular/React, Big Data | Washington, DC | Washington | DC | 38.907192 | -77.036871 | 150000 | 175000 | 162500 | https://www.cybercoders.com/lead-full-stack-en... |
| 201 | Data Engineer | Senior Database Developer | If you are a Senior Database Developer with ex... | SQL, Data, SQL Server, MySQL | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-database-de... |
| 202 | Data Engineer | Machine Learning Engineer | We are a communication and technology company ... | Data Science, Machine Learning, Simulation, Py... | Knoxville, TN | Knoxville | TN | 35.960638 | -83.920739 | 95000 | 110000 | 102500 | https://www.cybercoders.com/machine-learning-e... |
| 203 | Data Engineer | Machine Learning Engineer | If you are a Machine Learning Engineer with 3+... | Machine Learning, Information Retrieval, Data ... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/machine-learning-e... |
| 204 | Data Engineer | Machine Learning Engineer | San Jose, CA, US- RELOCATION INCLUDED! Your ap... | Machine Learning, Information Retrieval, Data ... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/machine-learning-e... |
| 205 | Data Engineer | SQL Integration Engineer | YOU ARE A passionate SQL Engineer that loves s... | SQL Server, PL/SQL, T-SQL, SQL Queries, Data I... | Costa Mesa, CA | Costa Mesa | CA | 33.641216 | -117.918822 | 90000 | 120000 | 105000 | https://www.cybercoders.com/sql-integration-en... |
| 206 | Data Engineer | Senior Machine Learning Engineer | We're helping people send over $3 billion arou... | Machine Learning, ML Algorithms, Python, SQL, ... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-machine-lea... |
| 207 | Data Engineer | Senior ETL Developer | If you are a Senior ETL Developer with experie... | ETL, AWS, Informatica, DB2, Postgres, Kimball,... | Fenton, MO | Fenton | MO | 38.512646 | -90.442988 | 100000 | 120000 | 110000 | https://www.cybercoders.com/senior-etl-develop... |
| 208 | Data Engineer | Back End Engineer | If you are a Back End Software Engineer with e... | Modern/Idiomatic Web Dev - Python, Flask or Dj... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 150000 | 135000 | https://www.cybercoders.com/back-end-engineer-... |
| 209 | Data Engineer | Full Stack Engineer | If you are a Full Stack Software Engineer with... | Modern/Idiomatic Web Dev - Python and JavaScri... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 160000 | 140000 | https://www.cybercoders.com/full-stack-enginee... |
| 210 | Data Engineer | Software Engineer | If you are a Software Engineer with C++ experi... | C++, Linux Platform, Search Algorithms, Inform... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 211 | Data Engineer | Software Engineer | San Jose, CA, US - RELOCATION INCLUDED!If you ... | C++, Linux Platform, Search Algorithms, Inform... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 212 | Data Engineer | Sr. Java Developer | We are a self-sustaining, revenue generating D... | Java, J2EE/Spring/Hibernate, SQL, RESTful API'... | East Setauket, NY | East Setauket | NY | 40.929376 | -73.102550 | 100000 | 130000 | 115000 | https://www.cybercoders.com/sr-java-developer-... |
| 213 | Data Engineer | Sr. Java Engineer | If you are a Sr. or Principal Java Engineer wi... | Java, J2EE/Spring/Hibernate, Multi-Threaded De... | Stony Brook, NY | Stony Brook | NY | 40.925654 | -73.140943 | 100000 | 130000 | 115000 | https://www.cybercoders.com/sr-java-engineer-j... |
| 214 | Data Engineer | Senior .NET C# Developer | If you are a Senior .NET C# Developer with exp... | .NET, C#, Windows, Big Data, SQL Server | Youngsville, NC | Youngsville | NC | 36.024873 | -78.474444 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-dot-net-c-s... |
| 215 | Data Engineer | Senior DevOps Engineer | Senior DevOps EngineerLocation: Belmont, CASal... | Docker, AWS, cl/cd, Jenkins, GIT, Big Data | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-devops-engi... |
| 216 | Data Engineer | Machine Learning Engineer | Based in San Mateo(right near the closest trai... | Machine Learning, Big Data analytics, Java, Py... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | Unknown | Unknown | Unknown | https://www.cybercoders.com/machine-learning-e... |
| 217 | Data Engineer | Machine Learning Engineer | Based in San Mateo(right near the closest trai... | Machine Learning, Big Data analytics, Java, Py... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | Unknown | Unknown | Unknown | https://www.cybercoders.com/machine-learning-e... |
| 218 | Data Engineer | Mobile Developer - iOS | If you are an iOS Developer with experience, p... | Objective-C, iOS Development, Cocoa, Core Data... | Reston, VA | Reston | VA | 38.958631 | -77.357003 | 120000 | 140000 | 130000 | https://www.cybercoders.com/mobile-developer-i... |
| 219 | Data Engineer | Operations Support Engineer | Ready to join the bio-tech & life sciences & c... | Quality Control, Database Management Systems, ... | Boston, MA | Boston | MA | 42.360082 | -71.058880 | 60000 | 85000 | 72500 | https://www.cybercoders.com/operations-support... |
| 220 | Data Engineer | Senior Java Engineer | If you are a Senior Java Engineer, please read... | Java, Spring, Sacalability, High Availability,... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-java-engine... |
| 221 | Data Engineer | Senior Android Engineer - Will Relocate | If you are a Senior Android Engineer, please r... | Android, Data Structures, Algorithm Design, Java | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | 150000 | 300000 | 225000 | https://www.cybercoders.com/senior-android-eng... |
| 222 | Data Engineer | Full-Stack Developer | Disruptive. Game Changer. Truly innovative. Th... | C++, Python, JavaScript, TDD / BDD, Large-Scal... | Charleston, SC | Charleston | SC | 32.776475 | -79.931051 | 100000 | 140000 | 120000 | https://www.cybercoders.com/full-stack-develop... |
| 223 | Data Engineer | Senior Machine Learning Engineer | Based in the greater Arlington, VA area, we ar... | Machine Learning, Deep Learning, Python C++ OR... | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | 110000 | 175000 | 142500 | https://www.cybercoders.com/senior-machine-lea... |
| 224 | Data Engineer | Senior Machine Learning Engineer | Based in the greater Arlington, VA area, we ar... | Machine Learning, Deep Learning, Python C++ OR... | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | 110000 | 175000 | 142500 | https://www.cybercoders.com/senior-machine-lea... |
| 225 | Data Engineer | Senior QA Engineer (Python/Java) | If you are a Senior QA Engineer with experienc... | Java, Node.js, Python, RESTful APIs, Big Data,... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 140000 | 150000 | 145000 | https://www.cybercoders.com/senior-qa-engineer... |
| 226 | Data Engineer | Software Engineer | We have an exciting career opportunity for a S... | Software Engineer, C++(OOD) C++ programming, A... | Saint Louis, MO | Saint Louis | MO | 38.627003 | -90.199404 | 75000 | 110000 | 92500 | https://www.cybercoders.com/software-engineer-... |
| 227 | Data Engineer | Software Engineer | If you are a Software Engineer with experience... | LabView, Visual Basic, C++, C#, SQL, Comm Inte... | Wixom, MI | Wixom | MI | 42.524755 | -83.536327 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 228 | Data Engineer | Lead Application Developer | If you are a Senior/Lead Application Developer... | Java, Web Services, SOAP, Rest, Data Analysis,... | Pittsburgh, PA | Pittsburgh | PA | 40.440625 | -79.995886 | 95000 | 110000 | 102500 | https://www.cybercoders.com/lead-application-d... |
| 229 | Data Engineer | Senior Ruby Developer | We are a consumer financing company offering a... | RUBY, Web Application Development, Data Modeli... | Menlo Park, CA | Menlo Park | CA | 37.452960 | -122.181725 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-ruby-develo... |
| 230 | Data Engineer | Lead Software Development Engineer | If you are a Lead, Sr. or Principal Level Engi... | Java, Data Structures, Algorithm Development, ... | Cupertino, CA | Cupertino | CA | 37.322998 | -122.032182 | 175000 | 325000 | 250000 | https://www.cybercoders.com/lead-software-deve... |
| 231 | Data Engineer | Lead Software Development Engineer | If you are a Lead, Sr. or Principal Level Engi... | Java, Data Structures, Algorithm Development, ... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | 175000 | 325000 | 250000 | https://www.cybercoders.com/lead-software-deve... |
| 232 | Data Engineer | QA Engineer - Blockchain | If you are a QA Engineer with experience, plea... | Black Box, Automated Testing, Sanity Testing, ... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/qa-engineer-blockc... |
| 233 | Data Engineer | Automated Test Engineer | With over half a dozen products in production ... | Data Interpretation, Writing Algorithms, LabVi... | Norwalk, CA | Norwalk | CA | 33.902237 | -118.081733 | 80000 | 120000 | 100000 | https://www.cybercoders.com/automated-test-eng... |
| 234 | Data Engineer | Lead Software Development Engineer | If you are a Lead, Sr. or Principal Level Engi... | Java, Data Structures, Algorithm Development, ... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 250000 | 350000 | 300000 | https://www.cybercoders.com/lead-software-deve... |
| 235 | Data Engineer | Senior Web Applications Developer | If you are a Senior Web Applications Developer... | Data Structures, Object-oriented Programming, ... | San Ramon, CA | San Ramon | CA | 37.779927 | -121.978015 | 130000 | 175000 | 152500 | https://www.cybercoders.com/senior-web-applica... |
| 236 | Data Engineer | Senior Web Applications Developer | If you are a Senior Web Applications Developer... | Data Structures, Object-oriented Programming, ... | San Ramon, CA | San Ramon | CA | 37.779927 | -121.978015 | 120000 | 175000 | 147500 | https://www.cybercoders.com/senior-web-applica... |
| 237 | Data Engineer | Full-Stack Developer | If you are a Full-Stack Developer with experie... | JavaScript, TypeScript, Node.js, Python, Objec... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 80000 | 120000 | 100000 | https://www.cybercoders.com/full-stack-develop... |
| 238 | Data Engineer | Test Automation Developer | With roughly 20 products in production & a han... | Writing Algorithms, C++, Python, Java, Data In... | Norwalk, CA | Norwalk | CA | 33.902237 | -118.081733 | 95000 | 150000 | 122500 | https://www.cybercoders.com/test-automation-de... |
| 239 | Data Engineer | Senior Extrusion Engineer | If you are a Senior Extrusion Engineer with ex... | Extrusion, Polymer, Medical Device, Data Minin... | Plymouth, MN | Plymouth | MN | 45.010519 | -93.455509 | 90000 | 110000 | 100000 | https://www.cybercoders.com/senior-extrusion-e... |
| 240 | Data Engineer | Senior Java Engineer | We're on a mission to make more people...more... | Java, JEE, JBoss, WildFly, Data Structures, Al... | Long Beach, CA | Long Beach | CA | 33.770050 | -118.193740 | 140000 | 175000 | 157500 | https://www.cybercoders.com/senior-java-engine... |
| 241 | Data Engineer | Senior Machine Learning Engineer | If you are a Senior Machine Learning Engineer ... | Machine Learning, Data Science, Natural Langua... | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-machine-lea... |
| 242 | Data Engineer | Machine Learning Engineer | If you are a Machine Learning Engineer with ex... | Machine Learning, Data Science, Natural Langua... | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | Unknown | Unknown | Unknown | https://www.cybercoders.com/machine-learning-e... |
| 243 | Data Engineer | FPGA Design Engineer | If you are a FPGA Design Engineer with experie... | FPGA, RTL, UVM, data storage: Internal FPGA RA... | Redondo Beach, CA | Redondo Beach | CA | 33.849182 | -118.388408 | 40000 | Unknown | 20000 | https://www.cybercoders.com/fpga-design-engine... |
| 244 | Data Engineer | OSI PI Developer | If you are an OSI PI Developer with strong dom... | Angular, Microsoft WebAPI/C#, OSIsoft, AF SDK,... | Newton, MA | Newton | MA | 42.337041 | -71.209221 | Unknown | Unknown | Unknown | https://www.cybercoders.com/osi-pi-developer-j... |
| 245 | Data Engineer | Front End Developer | If you are a Front End Developer with experien... | Angular, TypeScript, JavaScript, HTML, CSS | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/front-end-develope... |
| 246 | Data Engineer | SQL Developer | If you are a SQL Developer with experience, pl... | MS SQL, T-SQL, Ssrs, .NET Framework, C#, MVC, ... | Albertville, AL | Albertville | AL | 34.267594 | -86.208867 | 70000 | 90000 | 80000 | https://www.cybercoders.com/sql-developer-job-... |
| 247 | Data Engineer | Senior Software Engineer (Big Date/Python) | If you are a Senior Software Engineer with exp... | Big Data, Python, AWS | Mountain View, CA | Mountain View | CA | 37.386052 | -122.083851 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-software-en... |
| 248 | Data Engineer | .NET Developer | If you are a .NET Developer with ASP.NET and C... | ASP.NET, MVC, C#, JQuery, SQL, Entity Framework | Pittsburgh, PA | Pittsburgh | PA | 40.440625 | -79.995886 | 90000 | 95000 | 92500 | https://www.cybercoders.com/dot-net-developer-... |
| 249 | Data Engineer | PYTHON Engineer | If you are a Research Engineer with heavy PYTH... | modeling, Python, Panda, applications | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | Unknown | Unknown | Unknown | https://www.cybercoders.com/python-engineer-jo... |
| 250 | Data Engineer | Network Engineer | If you are a Network Engineer with experience,... | Routers, Firewalls, Switches, Wireless Control... | Omaha, NE | Omaha | NE | 41.256537 | -95.934503 | 70000 | 110000 | 90000 | https://www.cybercoders.com/network-engineer-j... |
| 251 | Data Engineer | Network Engineer | If you are a Network Engineer with experience,... | Routers, Firewalls, Switches, Wireless Control... | Omaha, NE | Omaha | NE | 41.256537 | -95.934503 | 70000 | 110000 | 90000 | https://www.cybercoders.com/network-engineer-j... |
| 252 | Data Engineer | Senior Software Developer | Disruptive. Game Changer. Truly innovative. Th... | Python, C++, TDD / BDD, JavaScript, Large-Scal... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 175000 | 147500 | https://www.cybercoders.com/senior-software-de... |
| 253 | Data Engineer | GoLang Developer | If you are a GoLang Developer with 3+ years of... | Go / Golang, Machine Learning, Software Engine... | Ventura County, CA | Ventura County | CA | 34.370488 | -119.139064 | 140000 | 160000 | 150000 | https://www.cybercoders.com/golang-developer-j... |
| 254 | Data Engineer | Full Stack Engineer | If you are a Full Stack Engineer with experien... | OOP (Java/Python/C++ or similar), PHP, JQuery/... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 110000 | 130000 | 120000 | https://www.cybercoders.com/full-stack-enginee... |
| 255 | Data Engineer | Full Stack Developer | If you are a Full Stack Developer with experie... | RUBY, JavaScript, Node.js, REACT, MongoDB, Pos... | San Diego, CA | San Diego | CA | 32.715738 | -117.161084 | 90000 | 150000 | 120000 | https://www.cybercoders.com/full-stack-develop... |
| 256 | Data Engineer | Performance Engineer | If you are a Performance Engineer with experie... | Performance Testing, Linux, Python or Ruby, Di... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 150000 | 125000 | https://www.cybercoders.com/performance-engine... |
| 257 | Data Engineer | Full Stack Developer | If you are a Full Stack Developer with experie... | RUBY, MongoDB, JavaScript, Node.js, REACT, Pos... | San Diego, CA | San Diego | CA | 32.715738 | -117.161084 | 90000 | 150000 | 120000 | https://www.cybercoders.com/full-stack-develop... |
| 258 | Data Engineer | Performance Engineer | If you are a Performance Engineer with experie... | Performance Testing, Linux, Python or Ruby, Di... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 130000 | 175000 | 152500 | https://www.cybercoders.com/performance-engine... |
| 259 | Data Engineer | Sr. Salesforce Developer | If you are a Salesforce Developer with extensi... | Develop high quality code using APEX, Java, De... | Canoga Park, CA | Canoga Park | CA | 34.208254 | -118.605861 | 80000 | 140000 | 110000 | https://www.cybercoders.com/sr-salesforce-deve... |
| 260 | Data Engineer | Senior Salesforce Developer | If you are a Senior Salesforce Developer with ... | Develop high quality code using APEX, Java, De... | Northridge, CA | Northridge | CA | 34.238125 | -118.530123 | 100000 | 140000 | 120000 | https://www.cybercoders.com/senior-salesforce-... |
| 261 | Data Engineer | Lead Frontend Developer | Lead Frontend DeveloperLocation: Arlington VAS... | Frontend development, Vue/Angular/React, HTML5... | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | 130000 | 160000 | 145000 | https://www.cybercoders.com/lead-frontend-deve... |
| 262 | Data Engineer | IT Security Engineer | If you are a IT Security Engineer with experie... | Security Auditing methodologies, PCI Data Secu... | El Segundo, CA | El Segundo | CA | 33.919180 | -118.416465 | 80000 | 120000 | 100000 | https://www.cybercoders.com/it-security-engine... |
| 263 | Data Engineer | Senior Web Developer | If you are a Senior Web Developer with experie... | PHP, Ruby On Rails, AWS and Heroku, MVC archit... | Boston, MA | Boston | MA | 42.360082 | -71.058880 | 90000 | 120000 | 105000 | https://www.cybercoders.com/senior-web-develop... |
| 264 | Data Engineer | Full Stack Web Developer | We are an established advertising agency in Se... | Web Application Development, HTML, CSS, JavaSc... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | 80000 | 120000 | 100000 | https://www.cybercoders.com/full-stack-web-dev... |
| 265 | Data Engineer | Principal Ruby on Rails Engineer | We are a disruptive software company in the co... | RUBY, Data Modeling, Whiteboarding, Test Drive... | San Carlos, CA | San Carlos | CA | 37.507159 | -122.260522 | Unknown | Unknown | Unknown | https://www.cybercoders.com/principal-ruby-on-... |
| 266 | Data Engineer | Full Stack Developer - Angular, Java | If you are a Full Stack Software Developer wit... | JavaScript/HTML5/CSS3, Java, AngularJS, T-SQL,... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 120000 | 140000 | 130000 | https://www.cybercoders.com/full-stack-develop... |
| 267 | Data Engineer | Senior Cloud Engineer -- AWS | Based in Cambridge, we are a rapidly growing d... | cloud architecture, AWS Lambda, Messaging tech... | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-cloud-engin... |
| 268 | Data Engineer | Sr. Software Engineer | If you are a Sr. Software Engineer in the Rale... | Java, AWS, ETL, GIS, GIT, data-driven developm... | Raleigh, NC | Raleigh | NC | 35.779590 | -78.638179 | 100000 | 130000 | 115000 | https://www.cybercoders.com/sr-software-engine... |
| 269 | Data Engineer | Sr. Software Engineer | If you are a Sr. Software Engineer in the Rale... | Java, AWS, ETL, GIS, GIT, data-driven developm... | Raleigh, NC | Raleigh | NC | 35.779590 | -78.638179 | 100000 | 130000 | 115000 | https://www.cybercoders.com/sr-software-engine... |
| 270 | Data Engineer | Senior Java Developer | If you are an experienced Senior Java Develope... | PostgreSQL, Java, Distributed Systems, Core Ja... | Burlington, MA | Burlington | MA | 42.504716 | -71.195621 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-java-develo... |
| 271 | Data Engineer | Senior Algorithm Engineer | If you are a Senior level Algorithm Engineer w... | Algorithm Development, Machine Learning, Image... | Acton, MA | Acton | MA | 42.485093 | -71.432840 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-algorithm-e... |
| 272 | Data Engineer | Lead Android Engineer | If you are a Lead/Senior Mobile Engineer with ... | Java, Data persistence layers, Video mobile an... | Venice, CA | Venice | CA | 33.985047 | -118.469483 | 120000 | 175000 | 147500 | https://www.cybercoders.com/lead-android-engin... |
| 273 | Data Engineer | Senior Android Engineer | If you are a Senior Mobile Engineer with Andro... | Java, Data persistence layers, Video mobile an... | Marina Del Rey, CA | Marina Del Rey | CA | 33.980289 | -118.451745 | 120000 | 160000 | 140000 | https://www.cybercoders.com/senior-android-eng... |
| 274 | Data Engineer | Senior Java Engineer | If you are an experienced Senior Java Engineer... | PostgreSQL, Java, Distributed Systems, Core Ja... | Burlington, MA | Burlington | MA | 42.504716 | -71.195621 | 110000 | 150000 | 130000 | https://www.cybercoders.com/senior-java-engine... |
| 275 | Data Engineer | Mixed Signal Design Engineer | If you are a Mixed Signal Design Engineer with... | Mixed-Signal ASIC Development, Analog Developm... | Rochester, NY | Rochester | NY | 43.156578 | -77.608846 | 110000 | 160000 | 135000 | https://www.cybercoders.com/mixed-signal-desig... |
| 276 | Data Engineer | Senior Algorithm Engineer | If you are a Senior level Algorithm Engineer w... | Algorithm Development, Machine Learning, Image... | Acton, MA | Acton | MA | 42.485093 | -71.432840 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-algorithm-e... |
| 277 | Data Engineer | Supplier Quality Engineer | If you are a Supplier Quality Engineer with 2+... | ISO 13485, Supplier Audits, PPAP, Mechanical o... | Concord, CA | Concord | CA | 37.977978 | -122.031073 | 90000 | 130000 | 110000 | https://www.cybercoders.com/supplier-quality-e... |
| 278 | Data Engineer | C++ Engineer (Multi-threaded) | If you are a C++ Engineer with multithreaded ... | Server-side C++, Linux, GPU, IPC, Asynchronous... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | Unknown | Unknown | Unknown | https://www.cybercoders.com/c-plus-plus-engine... |
| 279 | Data Engineer | Full-Stack JavaScript Developer | If you are a Full-Stack JavaScript Developer w... | JavaScript, ES6 syntax, Responsive HTML5 web-a... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | 80000 | 90000 | 85000 | https://www.cybercoders.com/full-stack-javascr... |
| 280 | Data Engineer | Senior Algorithm Engineer | If you are a Senior level Algorithm Engineer w... | Algorithm Development, Machine Learning, Compu... | Acton, MA | Acton | MA | 42.485093 | -71.432840 | 120000 | 150000 | 135000 | https://www.cybercoders.com/senior-algorithm-e... |
| 281 | Data Engineer | Lead Ad Platform Engineer | We are the most talked about leader in the onl... | SOA experience on the backend, C/C++, Cross pl... | Culver City, CA | Culver City | CA | 34.021122 | -118.396467 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-ad-platform-e... |
| 282 | Data Engineer | Lead Software Platform Engineer | We are the most talked about leader in the onl... | SOA experience on the backend, C/C++, Cross pl... | Beverly Hills, CA | Beverly Hills | CA | 34.073620 | -118.400356 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-software-plat... |
| 283 | Data Engineer | Golang Software Developer | WE WILL RELOCATE YOU! | If you are a Software Developer with experienc... | Java, Golang, Go, AWS, Big Data | Newport Beach, CA | Newport Beach | CA | 33.618883 | -117.929849 | 100000 | 175000 | 137500 | https://www.cybercoders.com/golang-software-de... |
| 284 | Data Engineer | Senior Software Developer | Disruptive. Game Changer. Truly innovative. Th... | Python, C++, Scala, SPARK, TDD / BDD, JavaScri... | Charleston, SC | Charleston | SC | 32.776475 | -79.931051 | 100000 | 150000 | 125000 | https://www.cybercoders.com/senior-software-de... |
| 285 | Data Engineer | Senior Software Engineer | If you are a Senior Software Engineer with exp... | Java, JUnit, JMeter, Big Data Experience (Hado... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 140000 | 175000 | 157500 | https://www.cybercoders.com/senior-software-en... |
| 286 | Data Engineer | PID Controls Engineer | If you are an Instrumentation & Controls Engin... | PID contoller, AC/DC/VFD motor drives, single/... | Johnson City, TN | Johnson City | TN | 36.313440 | -82.353473 | 85000 | 90000 | 87500 | https://www.cybercoders.com/pid-controls-engin... |
| 287 | Data Engineer | Network Sales Engineer | If you are a Network Sales Engineer with exper... | Telecommunications Industry, Sales Engineering... | Lexington, KY | Lexington | KY | 38.040584 | -84.503716 | Unknown | Unknown | Unknown | https://www.cybercoders.com/network-sales-engi... |
| 288 | Data Engineer | Senior Server Developer | If you are a Senior Server Developer with 2-7 ... | NoSQL, Ruby On Rails, XML and JSON based data ... | Arlington, VA | Arlington | VA | 38.881621 | -77.090981 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-server-deve... |
| 289 | Data Engineer | Sr. Network Pre Sales Engineer | Leading Technology Solutions Provider / System... | Cisco R/S, Cisco Security, Cisco Voice, Cisco ... | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-network-pre-sal... |
| 290 | Data Engineer | Sr. Network Pre Sales Engineer | Leading Technology Solutions Provider / System... | Cisco R/S, Cisco Security, Cisco Voice, Cisco ... | Glendale, CA | Glendale | CA | 34.142508 | -118.255075 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-network-pre-sal... |
| 291 | Data Engineer | Software QA & Python Developer | Based in Denver, CO , we are a leading tech co... | Python, closure, decorator, Data Structures, J... | Denver, CO | Denver | CO | 39.739236 | -104.990251 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-qa-python... |
| 292 | Data Engineer | Full-Stack Developer (C# and .NET) | If you are a Full-Stack Developer (C# and .NET... | C#, ASP.NET, JavaScript, T-SQL, JQuery, Data M... | Charlotte, NC | Charlotte | NC | 35.227087 | -80.843127 | Unknown | Unknown | Unknown | https://www.cybercoders.com/full-stack-develop... |
| 293 | Data Engineer | DBA/DB Engineer (SQL Server) | If you are a DBA/DB Engineer (SQL Server) with... | Queries, Scripting, Data Warehousing, Cloud, S... | Boca Raton, FL | Boca Raton | FL | 26.368306 | -80.128932 | 85000 | 110000 | 97500 | https://www.cybercoders.com/dba-db-engineer-sq... |
| 294 | Data Engineer | Lead Software Engineer | If you are a Sr. or Lead Software/Platform Eng... | Data Analytics Platforms, Machine Learning, Ma... | Mountain View, CA | Mountain View | CA | 37.386052 | -122.083851 | 140000 | 175000 | 157500 | https://www.cybercoders.com/lead-software-engi... |
| 295 | Data Engineer | Lead Software Engineer | If you are a Senior / Lead level Software Engi... | Java, Object Oriented, Data Structures, Algori... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | 160000 | 325000 | 242500 | https://www.cybercoders.com/lead-software-engi... |
| 296 | Data Engineer | Senior Software Developer | Based in downtown San Francisco, CA we are a V... | JavaScript, React.JS, Golang, Open Source, Dat... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 130000 | 150000 | 140000 | https://www.cybercoders.com/senior-software-de... |
| 297 | Data Engineer | Ruby on Rails Software Engineer | We are a disruptive software company in the co... | RUBY, Data Modeling, Whiteboarding, Test Drive... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 130000 | 160000 | 145000 | https://www.cybercoders.com/ruby-on-rails-soft... |
| 298 | Data Engineer | Software Engineer - Kafka Expert | If you are a Software Engineer - Kafka Expert ... | Kafka, Data, Kafka implementation, Confluent K... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 299 | Data Engineer | Software Development Engineer - ALL LEVELS, WI... | We are looking for talented Software Engineers... | Java, C++, C#, Data Structures, Algorithms | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | 80000 | 200000 | 140000 | https://www.cybercoders.com/software-developme... |
| 300 | Data Engineer | Senior Software Development Engineer - WILL RE... | We are looking for talented Senior Software En... | Java, C++, C#, Data Structures, Algorithms | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 150000 | 300000 | 225000 | https://www.cybercoders.com/senior-software-de... |
| 301 | Data Engineer | Senior Platform Engineer - Rails, Angular.js | If you are a Platform Engineer with Rails & An... | Rails, Angular.js, Data Modeling, Web Technolo... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-platform-en... |
| 302 | Data Engineer | Mobile Developer - High Growth Opportunity! | If you are a Mobile Developer with iOS experie... | Objective-C, iOS Development, Cocoa, Core Data... | Reston, VA | Reston | VA | 38.958631 | -77.357003 | 120000 | 140000 | 130000 | https://www.cybercoders.com/mobile-developer-h... |
| 303 | Data Engineer | Senior Software Engineer | Known as a leader in our industry for decades,... | C#, SQL, ASP.NET, ERP System Development, Visu... | Milpitas, CA | Milpitas | CA | 37.432334 | -121.899574 | 120000 | 150000 | 135000 | https://www.cybercoders.com/senior-software-en... |
| 304 | Data Engineer | Lead/Senior Mobile Engineer (Android) | If you are a Lead/Senior Mobile Engineer with ... | Java, Data persistence layers, Video mobile an... | Venice, CA | Venice | CA | 33.985047 | -118.469483 | 120000 | 160000 | 140000 | https://www.cybercoders.com/lead-senior-mobile... |
| 305 | Data Engineer | Lead/Senior Mobile Engineer (Android) | If you are a Lead/Senior Mobile Engineer with ... | Java, Data persistence layers, Video mobile an... | Venice, CA | Venice | CA | 33.985047 | -118.469483 | 120000 | 160000 | 140000 | https://www.cybercoders.com/lead-senior-mobile... |
| 306 | Data Engineer | Senior Database Engineer - Java | If you are an experienced Senior Java Develope... | PostgreSQL, Java, Distributed Systems, Core Ja... | Burlington, MA | Burlington | MA | 42.504716 | -71.195621 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-database-en... |
| 307 | Data Engineer | Lead/Manager Software Engineer | We are the most talked about leader in the onl... | SOA experience on the backend, C/C++, Cross pl... | Westwood, CA | Westwood | CA | 40.306000 | -121.005793 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-manager-softw... |
| 308 | Data Engineer | Senior Software Engineer - Cryptocurrency | If you are a Senior Software Engineer with Cry... | Blockchain, Cryptography, AI, Java/Python/Gola... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 150000 | 250000 | 200000 | https://www.cybercoders.com/senior-software-en... |
| 309 | Data Engineer | SIEM Engineer - ArcSight, Splunk | If you are a Security Engineer with ArcSight o... | ArcSight, Network/Host/Data/Application Securi... | Washington, DC | Washington | DC | 38.907192 | -77.036871 | 140000 | 150000 | 145000 | https://www.cybercoders.com/siem-engineer-arcs... |
| 310 | Data Engineer | Senior Platform Engineer - Ruby/Scala | We are a leading B2B PaaS company focused on b... | Ruby On Rails, Scalability, Security, Algorith... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 175000 | 162500 | https://www.cybercoders.com/senior-platform-en... |
| 311 | Data Engineer | Senior Back-End / GoLang Engineer | If you are a Senior Software Engineer w/ GoLan... | Go, IOT, Big Data, Video, Protobuf, Python, Mu... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 120000 | 160000 | 140000 | https://www.cybercoders.com/senior-back-end-go... |
| 312 | Data Engineer | Senior Python Engineer (Server side, Storage) | If you are a Senior Python Engineer (Server si... | Python, Multi-threaded Programming, asynchrono... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 150000 | 200000 | 175000 | https://www.cybercoders.com/senior-python-engi... |
| 313 | Data Engineer | Cybersecurity/Information Assurance Engineer (... | If you are a Cybersecurity/Information Assuran... | Data Security Administration, CSSP, CEH, GCIH,... | Colorado Springs, CO | Colorado Springs | CO | 38.833882 | -104.821363 | 80000 | 95000 | 87500 | https://www.cybercoders.com/cybersecurity-info... |
| 314 | Data Engineer | Sr. Front End Developer (Casual Office/Flexibl... | If you are a Sr. Front End Developer with expe... | Angular, TypeScript, Cordova, Agile, Kanban, T... | Arlington, TX | Arlington | TX | 32.735687 | -97.108066 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-front-end-devel... |
| 315 | Data Engineer | Software Developer - Linux, C, Python | If you are a Linux Software Developer with ex... | Software Engineer, C, C++, Python, Linux Kerne... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-developer... |
| 316 | Data Engineer | Software Engineer, Big Data - ACTIVE TS/SCI w ... | Software Engineer, Big Data - ACTIVE TS/SCI w ... | TS/SCI with FS Polygraph Clearance, Java, Map ... | Anne Arundel County, MD | Anne Arundel County | MD | 38.953011 | -76.548823 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 317 | Data Engineer | Software Engineer, Big Data - ACTIVE TS/SCI w ... | Software Engineer, Big Data - ACTIVE TS/SCI w ... | TS/SCI with FS Polygraph Clearance, Java, Map ... | Alexandria, VA | Alexandria | VA | 38.804836 | -77.046921 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-engineer-... |
| 318 | Data Engineer | Senior Java Engineer | If you are a Senior Software Engineer with exp... | J2EE, Java, SQL, JDBC, Microservices, RESTful,... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 70000 | Unknown | 35000 | https://www.cybercoders.com/senior-java-engine... |
| 319 | Data Engineer | Ruby on Rails Developer | We are an advanced medical data processing co... | Ruby On Rails, AWS, PHP | Colorado Springs, CO | Colorado Springs | CO | 38.833882 | -104.821363 | 80000 | 120000 | 100000 | https://www.cybercoders.com/ruby-on-rails-deve... |
| 320 | Data Engineer | Magento Developer - eCommerce! | We pride ourselves in developing growth strate... | Magento, Magento 2, PHP, JavaScript, XML, JSON... | San Diego, CA | San Diego | CA | 32.715738 | -117.161084 | 95000 | 100000 | 97500 | https://www.cybercoders.com/magento-developer-... |
| 321 | Data Engineer | Senior Java Engineer | Title: Senior Software EngineerSalary: $70/hr ... | J2EE, Java, SQL, JDBC, Microservices, RESTful,... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 70000 | Unknown | 35000 | https://www.cybercoders.com/senior-java-engine... |
| 322 | Data Engineer | Principal Java Developer | If you are a Principal Java Developer with 5+ ... | Java, Spring, SOA, Bootstrap | Baltimore, MD | Baltimore | MD | 39.290385 | -76.612189 | 110000 | 140000 | 125000 | https://www.cybercoders.com/principal-java-dev... |
| 323 | Data Engineer | Principal Java Developer | If you are a Principal Java Developer with 5+ ... | Java, Spring, SOA, Bootstrap | Bedford, MA | Bedford | MA | 42.490623 | -71.276009 | 110000 | 140000 | 125000 | https://www.cybercoders.com/principal-java-dev... |
| 324 | Data Engineer | SQL Developer (relocation offered) | If you are a SQL Developer with experience, pl... | MS SQL, T-SQL, Ssrs, .NET Framework, C#, MVC, ... | Albertville, AL | Albertville | AL | 34.267594 | -86.208867 | 70000 | 90000 | 80000 | https://www.cybercoders.com/sql-developer-relo... |
| 325 | Data Engineer | Software Engineer -- Machine Learning, NLP | Based in San Mateo(right near the closest trai... | Machine Learning, Big Data analytics, Java, Py... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 100000 | 130000 | 115000 | https://www.cybercoders.com/software-engineer-... |
| 326 | Data Engineer | Software Engineer - Java / Scala | If you are a Software Engineer with experience... | Hadoop, Scala, SPARK, Java, NODE, REACT, Big Data | Jersey City, NJ | Jersey City | NJ | 40.728157 | -74.077642 | 150000 | 175000 | 162500 | https://www.cybercoders.com/software-engineer-... |
| 327 | Data Engineer | Java DevOps Engineer | We are the premier data collaboration platform... | Debian, Linux, Java, Python, MySQL, Shell Scri... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 120000 | 200000 | 160000 | https://www.cybercoders.com/java-devops-engine... |
| 328 | Data Engineer | SCALA Cloud Engineer | If you are a Senior Software Engineer with Clo... | Scala, Java, RESTful API, Microservices, Amazo... | Kitchener, ON | Kitchener | ON | 43.451639 | -80.492534 | 95000 | 140000 | 117500 | https://www.cybercoders.com/scala-cloud-engine... |
| 329 | Data Engineer | .NET Developer - SQL | Job Title: .NET Software DeveloperLocation: Sa... | .NET, Visual Studio, C#, SQL, MVC | Santa Barbara, CA | Santa Barbara | CA | 34.420831 | -119.698190 | Unknown | Unknown | Unknown | https://www.cybercoders.com/dot-net-developer-... |
| 330 | Data Engineer | Web UI Developer | If you are a Web UI Developer with experience,... | JavaScript, XHTML, CSS, AJAX, Agile Developmen... | Wellesley, MA | Wellesley | MA | 42.296797 | -71.292388 | Unknown | Unknown | Unknown | https://www.cybercoders.com/web-ui-developer-j... |
| 331 | Data Engineer | Sr Full Stack JavaScript Engineer | Are you a Sr. Full Stack Developer looking to ... | Node.js, REACT, Angular, JavaScript | Gardena, CA | Gardena | CA | 33.888349 | -118.308962 | 100000 | 130000 | 115000 | https://www.cybercoders.com/sr-full-stack-java... |
| 332 | Data Engineer | Senior Devops Engineer | Are you a Senior Devops Engineer who doesn't w... | Linux, AWS, Java | Glendale, CA | Glendale | CA | 34.142508 | -118.255075 | 130000 | 160000 | 145000 | https://www.cybercoders.com/senior-devops-engi... |
| 333 | Data Engineer | Senior Devops Engineer | Are you a Senior Devops Engineer who doesn't w... | Linux, AWS, Java | Glendale, CA | Glendale | CA | 34.142508 | -118.255075 | 130000 | 160000 | 145000 | https://www.cybercoders.com/senior-devops-engi... |
| 334 | Data Engineer | Deep Learning Engineer | If you are a Deep Learning Engineer with exper... | Deep Learning, Machine Learning, Natural Langu... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/deep-learning-engi... |
| 335 | Data Engineer | Sr. UI Engineer | With a beautiful office located in Redwood Cit... | Node.js, React.JS, AngularJS | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | 150000 | 175000 | 162500 | https://www.cybercoders.com/sr-ui-engineer-job... |
| 336 | Data Engineer | Machine Learning Engineer | If you are a Machine Learning Engineer with ... | Machine Learning, Deep Learning, Java | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | Unknown | Unknown | Unknown | https://www.cybercoders.com/machine-learning-e... |
| 337 | Data Engineer | Lead DevOps Engineer | If you are a DevOps Engineer with experience l... | Devops, Continuous Automation, Continuous depl... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 150000 | 225000 | 187500 | https://www.cybercoders.com/lead-devops-engine... |
| 338 | Data Engineer | Performance Test Engineer | If you are a Performance Test Engineer with ex... | Performance Testing, Linux, Python or Ruby, Di... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 150000 | 125000 | https://www.cybercoders.com/performance-test-e... |
| 339 | Data Engineer | Senior DevOps Engineer (Python) | If you are a Senior DevOps Engineer (Python) w... | Devops, Continuous Automation, Continuous depl... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | 150000 | 225000 | 187500 | https://www.cybercoders.com/senior-devops-engi... |
| 340 | Data Engineer | Software Development Engineer in Test | If you are a Software Development Engineer in ... | Test Automation, Selenium, API Testing, Ruby/J... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 95000 | 130000 | 112500 | https://www.cybercoders.com/software-developme... |
| 341 | Data Engineer | Full-Stack Engineer | If you are a Full-Stack Engineer with experie... | Java, SQL, React.JS, JavaScript, AWS | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 150000 | 125000 | https://www.cybercoders.com/full-stack-enginee... |
| 342 | Data Engineer | Blockchain Smart Contracts Engineer | If you are a Smart Contracts Engineer with exp... | Private Ethereum Compatible Blockchain, Ethere... | Portland, OR | Portland | OR | 45.512231 | -122.658719 | 120000 | 150000 | 135000 | https://www.cybercoders.com/blockchain-smart-c... |
| 343 | Data Engineer | Professional Services Engineer | If you are a Professional Services Engineer ... | Java, Customer Facing, Professional Services, ... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 120000 | 160000 | 140000 | https://www.cybercoders.com/professional-servi... |
| 344 | Data Engineer | Lead UI Engineer | If you are a Lead UI Engineer with experience,... | Product Development, Web based analytics/BI/Vi... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 150000 | 175000 | 162500 | https://www.cybercoders.com/lead-ui-engineer-j... |
| 345 | Data Engineer | Software Development Engineer in Test | If you are a Software Development Engineer in ... | Test Automation, Selenium, API Testing, Ruby/J... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 100000 | 150000 | 125000 | https://www.cybercoders.com/software-developme... |
| 346 | Data Engineer | Senior Fullstack Web Developer | If you are a Senior Fullstack Web Developer wi... | fullstack, Node.js, AWS | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | 130000 | 175000 | 152500 | https://www.cybercoders.com/senior-fullstack-w... |
| 347 | Data Engineer | Software (CRM) Developer | If you have a background in .NET and any CRM-r... | C#/.NET, SQL Server, Some CRM Development/Cust... | Las Vegas, NV | Las Vegas | NV | 36.169941 | -115.139830 | 70000 | 90000 | 80000 | https://www.cybercoders.com/software-crm-devel... |
| 348 | Data Engineer | Mechanical Engineer - Solidworks, UAV, Drones!!! | Based in San Diego, we are an innovative drone... | UAV, Drone, Mechanical testing, Soldering, dat... | San Diego, CA | San Diego | CA | 32.715738 | -117.161084 | Unknown | Unknown | Unknown | https://www.cybercoders.com/mechanical-enginee... |
| 349 | Data Engineer | Senior Software Development Engineer - $200k + | If you are a Senior Software Development Engin... | API Development, Large Data Sets, C#, Java, Py... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | 160000 | 200000 | 180000 | https://www.cybercoders.com/senior-software-de... |
| 350 | Data Engineer | Director of Computer Vision Engineer - Python ... | Based in New York City, we are a dedicated, ta... | Computer Vision, Hands-on leadership, Python, ... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | Unknown | Unknown | Unknown | https://www.cybercoders.com/director-of-comput... |
| 351 | Data Engineer | Full-Stack Engineer (Backend) - RoR and Storag... | If you are a skilled Full-Stack Engineer that ... | Data Storage, Ruby On Rails, REACT, Python, Ja... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 140000 | 160000 | 150000 | https://www.cybercoders.com/full-stack-enginee... |
| 352 | Data Engineer | Software Engineer - C++ - Multi-thread - Algor... | We have an exciting career opportunity for a S... | Software Engineer, C++(OOD) C++ programming, A... | Saint Louis, MO | Saint Louis | MO | 38.627003 | -90.199404 | 75000 | 110000 | 92500 | https://www.cybercoders.com/software-engineer-... |
| 353 | Data Engineer | Remote/Onsite Web Developer (Javascript and An... | Title: Mid - Sr. Level Web Developer (JavaScri... | JavaScript, Angular, REACT, Script and Styling... | Toledo, OH | Toledo | OH | 41.652805 | -83.537867 | 80000 | 120000 | 100000 | https://www.cybercoders.com/remote-onsite-web-... |
| 354 | Data Engineer | Senior Web Developer (Javascript and Angular/R... | Title: Mid - Sr. LevelCompensation: Negotiable... | JavaScript, Angular, REACT, Script and Styling... | Detroit, MI | Detroit | MI | 42.331427 | -83.045754 | 70000 | 120000 | 95000 | https://www.cybercoders.com/senior-web-develop... |
| 355 | Data Engineer | Principle Engineer - Embedded Product Develop... | As a member of the product development team, y... | Embedded Product Development, Linux, M2M Techn... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/principle-engineer... |
| 356 | Data Engineer | Senior Java Engineer - Leading CyberSecurity C... | If you are an experienced Senior Java Engineer... | PostgreSQL, Java, Distributed Systems, Core Ja... | Burlington, MA | Burlington | MA | 42.504716 | -71.195621 | 110000 | 150000 | 130000 | https://www.cybercoders.com/senior-java-engine... |
| 357 | Data Engineer | Sr. Software Engineer - C++/Multi-Threaded | Located in beautiful Los Angeles, CA, we're br... | Software Development in C++, Python, Linux, Al... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-software-engine... |
| 358 | Data Engineer | Sr. Software Engineer - C++/Multi-Threaded | Located in beautiful Pasadena, CA, we're an AI... | Software Development in C++, Python, Linux, Al... | Pasadena, CA | Pasadena | CA | 34.147785 | -118.144515 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-software-engine... |
| 359 | Data Engineer | Senior C/C++ Developer - Medical Device Startup | If you are a C/C++ Software Engineer proficien... | C++, Medical Devices, Startup Experience, Data... | Sunnyvale, CA | Sunnyvale | CA | 37.368830 | -122.036350 | 140000 | 175000 | 157500 | https://www.cybercoders.com/senior-c-c-plus-pl... |
| 360 | Data Engineer | Cisco Security Lead Regional Solutions Enginee... | Leading Solutions Provider partnered with Cisc... | CCIE, Cisco R/S, Cisco Data Center, Cisco Secu... | Reston, VA | Reston | VA | 38.958631 | -77.357003 | Unknown | Unknown | Unknown | https://www.cybercoders.com/cisco-security-lea... |
| 361 | Data Engineer | Senior Ruby on Rails Developer for Top Market ... | Leading data analytics company with offices ac... | Ruby on Rails / RoR / Ruby / Rails, Data Struc... | Orlando, FL | Orlando | FL | 28.538335 | -81.379237 | 100000 | 120000 | 110000 | https://www.cybercoders.com/senior-ruby-on-rai... |
| 362 | Data Engineer | Senior Software Engineer (C#, .Net) with some ... | We are the advance engineering team supporting... | C#, .NET, Microsoft Visual Studio, Object-orie... | Elmira, NY | Elmira | NY | 42.089796 | -76.807734 | 90000 | 140000 | 115000 | https://www.cybercoders.com/senior-software-en... |
| 363 | Data Engineer | WPF Engineer - RELOCATE today! | If you are a WPF Engineer with C# experience, ... | C#, .NET, CLR, Windows | Tacoma, WA | Tacoma | WA | 47.252877 | -122.444291 | 120000 | 150000 | 135000 | https://www.cybercoders.com/wpf-engineer-reloc... |
| 364 | Data Engineer | Senior Software Engineer | If you are a Senior Software Engineer with ex... | Java, Scala, NoSQL, Rest | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 150000 | 200000 | 175000 | https://www.cybercoders.com/senior-software-en... |
| 365 | Data Engineer | Principal Software Engineer (.NET) | If you are a .NET/C# Developer with experience... | .NET, C#, SQL, Team Foundation Server (TFS), A... | Solon, OH | Solon | OH | 41.389776 | -81.441226 | Unknown | Unknown | Unknown | https://www.cybercoders.com/principal-software... |
| 366 | Data Engineer | Senior Software Engineer (.NET) | If you are a Senior Software Developer with ex... | .NET, C#, SQL, Agile Software Development, ASP... | Wellesley, MA | Wellesley | MA | 42.296797 | -71.292388 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-software-en... |
| 367 | Data Engineer | Lead Software Developer | We are one of the most successful technology s... | Java, JavaScript, Python, Expert HTML5 and CSS... | Philadelphia, PA | Philadelphia | PA | 39.952584 | -75.165222 | 130000 | 175000 | 152500 | https://www.cybercoders.com/lead-software-deve... |
| 368 | Data Engineer | Lead Software Engineer | If you are a Lead Software Engineer with exper... | applications Mesos-Kafka-Spark-Yarn-Ignite, St... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-software-engi... |
| 369 | Data Engineer | Blockchain Developer - Preferably Ethereum | Based in the Financial District in SF, we are ... | Blockchain, Ethereum, Python, C++, Blockchain ... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/blockchain-develop... |
| 370 | Data Engineer | Senior Front End Developer (Relocate to Tampa) | Job Title: Senior Front-End DeveloperLocation:... | JavaScript, User Interface Design / Developmen... | Orlando, FL | Orlando | FL | 28.538335 | -81.379237 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-front-end-d... |
| 371 | Data Engineer | Senior Software Engineer | We are looking to add a talented contract to h... | Hadoop, Hive, Spark and Presto, Apache Solr an... | Mountain View, CA | Mountain View | CA | 37.386052 | -122.083851 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-software-en... |
| 372 | Data Engineer | Software Development Engineer - C++, Linux, Re... | If you are a Software Development Engineer wit... | C++, Linux - RedHat, Embedded Software Develop... | Providence, RI | Providence | RI | 41.823989 | -71.412834 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-developme... |
| 373 | Data Engineer | Software Test Engineer (Automation) REQ'D C++/... | Located in beautiful Los Angeles, CA, we're br... | Developing Automated Integration/Unit Tests, T... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-test-engi... |
| 374 | Data Engineer | Sr. Software Automation Engineer (Cloud) - C+... | Located in beautiful Los Angeles, CA, we're br... | Developing Automated Integration/Unit Tests, T... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-software-automa... |
| 375 | Data Engineer | Senior Air Quality Engineer - Bay Area/Berkeley | If you are a Senior Air Quality Engineer with ... | Air Quality Assessment, Environmental Engineer... | Berkeley, CA | Berkeley | CA | 37.871593 | -122.272747 | 90000 | 130000 | 110000 | https://www.cybercoders.com/senior-air-quality... |
| 376 | Data Engineer | Lead Quality Engineer Specialist - $100k - ISO... | Personal goals and targets are set and reviewe... | ISO 9001, ISO 13485, Quality Leadership / Mana... | Boulder, CO | Boulder | CO | 40.014986 | -105.270546 | 80000 | 100000 | 90000 | https://www.cybercoders.com/lead-quality-engin... |
| 377 | Data Engineer | C++ Software Engineer - Search Team | If you are a Software Engineer with C++ experi... | C++, search engine technologies, Search Algori... | San Jose, CA | San Jose | CA | 37.338208 | -121.886329 | Unknown | Unknown | Unknown | https://www.cybercoders.com/c-plus-plus-softwa... |
| 378 | Data Engineer | Sr. Software Engineer (SaaS/AI) - C++ OOP/OOD | Located in beautiful Los Angeles, CA, we're us... | Software Development in C++, Python, Linux, Al... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-software-engine... |
| 379 | Data Engineer | Senior Software Engineer - Java/Spring, LIMS, ... | If you're a Senior Java Programmer with develo... | LIMS, Java/Spring, Network Data Transfers, Mic... | Menlo Park, CA | Menlo Park | CA | 37.452960 | -122.181725 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-software-en... |
| 380 | Data Engineer | Software Engineer - Active TS/SCI CI Poly - 11... | If you are a Software Engineer with an active ... | C, C++, Java, TS/SCI CI Poly, Python, RUBY, Pe... | Camp Springs, MD | Camp Springs | MD | 38.804003 | -76.906640 | 65000 | 75000 | 70000 | https://www.cybercoders.com/software-engineer-... |
| 381 | Data Engineer | Staff Software Engineer - C++, STL, Power Ana... | Located in Fremont, we're a publicly traded, g... | C++, EDA, STL, Power Analysis Tools, Signal In... | Fremont, CA | Fremont | CA | 37.548270 | -121.988572 | 130000 | 175000 | 152500 | https://www.cybercoders.com/staff-software-eng... |
| 382 | Data Engineer | Senior iOS Engineer - SWIFT, Objective C, iOS ... | If you are a Senior iOS Engineer with 5+ years... | iOS App Development, iOS frameworks and SDK, O... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 120000 | 175000 | 147500 | https://www.cybercoders.com/senior-ios-enginee... |
| 383 | Data Engineer | Electrical Engineer - URGENT ROLE - Electrica... | Based in beautiful Saint Paul we are a stable,... | Mobile Equipment Low Voltage Systems (12/24 vo... | Saint Paul, MN | Saint Paul | MN | 44.953703 | -93.089958 | Unknown | Unknown | Unknown | https://www.cybercoders.com/electrical-enginee... |
| 384 | Data Engineer | Electrical Engineer - 3D Modeling - Saint Paul | Based in beautiful Saint Paul we are a stable,... | Mobile Equipment Low Voltage Systems (12/24 vo... | Saint Paul, MN | Saint Paul | MN | 44.953703 | -93.089958 | Unknown | Unknown | Unknown | https://www.cybercoders.com/electrical-enginee... |
| 385 | Data Engineer | Software Engineer - C#, Windows | If you are a Software Engineer with C# experie... | C#, .NET, CLR, Windows | Tacoma, WA | Tacoma | WA | 47.252877 | -122.444291 | 110000 | 140000 | 125000 | https://www.cybercoders.com/software-engineer-... |
| 386 | Data Engineer | NOC Engineer - Overnight Weekends (Fri-Sun) | Job Title: NOC EngineerJob Location: Detroit,... | Network Operations Center Engineering, Juniper... | Detroit, MI | Detroit | MI | 42.331427 | -83.045754 | 55000 | 75000 | 65000 | https://www.cybercoders.com/noc-engineer-overn... |
| 387 | Data Engineer | Full Stack Engineer - Python/React or Angular/AWS | Based in the Financial District in SF, we are ... | Python, JavaScript, Django/Flask/Pyramid, REAC... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | Unknown | Unknown | Unknown | https://www.cybercoders.com/full-stack-enginee... |
| 388 | Data Engineer | Sr. Software Developer in Test (Automation) - ... | Located in beautiful Los Angeles, CA, we're br... | SDET experience (work not academia), Developin... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-software-develo... |
| 389 | Data Engineer | Cloud Engineer - TS/SCI w/FSP or CI | Cloud Engineer with active TS/SCI w/FSP or CI ... | Top Secret Clearance with CI or FSP, Java C & ... | Fort Meade, MD | Fort Meade | MD | 39.113760 | -76.726777 | Unknown | Unknown | Unknown | https://www.cybercoders.com/cloud-engineer-ts-... |
| 390 | Data Engineer | Remote Senior Application Engineer - SAP Hybri... | If you are a Senior Application Engineer - SAP... | Developing Hybris eCommerce sites, Hybris Acce... | Chicago, IL | Chicago | IL | 41.878114 | -87.629798 | Unknown | Unknown | Unknown | https://www.cybercoders.com/remote-senior-appl... |
| 391 | Data Engineer | Software Test Engineer (Automation - LA) REQ'D... | Located in beautiful Los Angeles, CA, we're br... | Developing Automated Integration/Unit Tests, T... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | Unknown | Unknown | Unknown | https://www.cybercoders.com/software-test-engi... |
| 392 | Data Engineer | Sr Software Engineer - Active TS/SCI CI Poly -... | If you are a Sr Software Engineer with an acti... | C, C++, Java, TS/SCI CI Poly, Python, RUBY, Pe... | Mclean, VA | Mclean | VA | 38.933868 | -77.177260 | 130000 | 150000 | 140000 | https://www.cybercoders.com/sr-software-engine... |
| 393 | Data Engineer | Sr. Software Developer - Java/C++/Python | If you are a Software Developer comfortable wo... | Java, C++, Python, JSON, MongoDB, MySQL, Cassa... | Annapolis Junction, MD | Annapolis Junction | MD | 39.120293 | -76.776932 | 130000 | 200000 | 165000 | https://www.cybercoders.com/sr-software-develo... |
| 394 | Data Engineer | Full Stack Software Engineer - JavaScript, SaaS | If you are a Full Stack Software Engineer with... | JavaScript, PHP, Laravel, AWS, Angular/React/M... | Melville, NY | Melville | NY | 40.793432 | -73.415121 | Unknown | Unknown | Unknown | https://www.cybercoders.com/full-stack-softwar... |
| 395 | Data Engineer | Sr Software Engineer - Python, NoSQL, Spark | Are you a Sr Software Engineer who has experie... | Node.js, JavaScript, SPARK, NoSQL | Gardena, CA | Gardena | CA | 33.888349 | -118.308962 | 120000 | 150000 | 135000 | https://www.cybercoders.com/sr-software-engine... |
| 396 | Data Engineer | Senior Java Developer- Innovative Company! | If you are a Senior Java Developer with experi... | Java, Spring, TDD, SPARK, Data conversions, Av... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-java-develo... |
| 397 | Data Engineer | Senior Java Developer- Partial Remote | If you are a Senior Java Developer with experi... | Java, Spring, TDD, SPARK, Data conversions, Av... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-java-develo... |
| 398 | Data Engineer | Senior Java Developer- Innovative Company! | If you are a Senior Java Developer with experi... | Java, Spring, TDD, SPARK, Data conversions, Av... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 100000 | 160000 | 130000 | https://www.cybercoders.com/senior-java-develo... |
| 399 | Data Engineer | Sr. Back End Developer (TS/SCI + FSP Clearance) | If you are a Software Developer comfortable wo... | Hadoop, Mapreduce, Java, Python | Fort Meade, MD | Fort Meade | MD | 39.113760 | -76.726777 | 130000 | 175000 | 152500 | https://www.cybercoders.com/sr-back-end-develo... |
| 400 | Data Engineer | Java Developer - Java/J2EE, Linux/UNIX, Web Se... | If you are a Java Developer with multi-tier we... | Java/J2EE Development, Linux/UNIX, Multi-tier ... | San Ramon, CA | San Ramon | CA | 37.779927 | -121.978015 | 100000 | 160000 | 130000 | https://www.cybercoders.com/java-developer-jav... |
| 401 | Data Engineer | NOC Engineer - Overnight Shift - $55k-$75k | Job Title: NOC EngineerJob Location: Detroit,... | Network Operations Center Engineering, Juniper... | Detroit, MI | Detroit | MI | 42.331427 | -83.045754 | 55000 | 75000 | 65000 | https://www.cybercoders.com/noc-engineer-overn... |
| 402 | Data Engineer | NOC Engineer (Weekend Overnight Fri-Sun) - $50... | Job Title: NOC Engineer (Weekend Overnight Fri... | Network Operations Center Engineering, Juniper... | Detroit, MI | Detroit | MI | 42.331427 | -83.045754 | 50000 | 70000 | 60000 | https://www.cybercoders.com/noc-engineer-weeke... |
| 403 | Data Engineer | Senior / Lead ReactJS Developer - GraphQL, RES... | If you are a Software Engineer, or Lead Front-... | React.JS, Redux, MVC Javascript Development, R... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 90000 | 150000 | 120000 | https://www.cybercoders.com/senior-lead-reactj... |
| 404 | Data Engineer | Lead Cloud Architect/Engineer - Machine Learni... | If you are a Lead Cloud Architect/Engineer wit... | Big Data, Machine Learning, Artificial Intelli... | Philadelphia, PA | Philadelphia | PA | 39.952584 | -75.165222 | 120000 | 175000 | 147500 | https://www.cybercoders.com/lead-cloud-archite... |
| 405 | Data Engineer | Rapid Application Developer(RAD)- Team Lead | Our Innovative Trading team is looking to add ... | Rapid Application Development, wire-framing, M... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 130000 | 200000 | 165000 | https://www.cybercoders.com/rapid-application-... |
| 406 | Data Engineer | Lead Developer- MS Dynamics 365 | If you are a Lead Developer- MS Dynamics 365 ... | Microsoft Dynamics 365, Microsoft TFS, Dynamic... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-developer-ms-... |
| 407 | Data Engineer | Controls Systems Engineer, Matlab/Simulink | If you have Controls Systems Engineer skilled ... | Matlab, SimuLink, LabView, Python, Automotive ... | Loveland, CO | Loveland | CO | 40.397761 | -105.074980 | Unknown | Unknown | Unknown | https://www.cybercoders.com/controls-systems-e... |
| 408 | Data Engineer | Sr. Test Engineer - Hardware, LabView, TestSta... | Job Title: Sr. Test Engineer - Hardware, Manu... | LabView, TestStand, Zigbee, WiFi, cellular, Et... | Lindon, UT | Lindon | UT | 40.343286 | -111.720761 | 80000 | 100000 | 90000 | https://www.cybercoders.com/sr-test-engineer-h... |
| 409 | Data Engineer | Machine Learning Engineer- Deep Learning - REL... | Do you have Deep Learning experience?Are you e... | Machine Learning, Deep Learning, Data Science,... | West Hollywood, CA | West Hollywood | CA | 34.090009 | -118.361744 | 150000 | 250000 | 200000 | https://www.cybercoders.com/machine-learning-e... |
| 410 | Data Engineer | Electrical Design Engineer- Complex Electric... | If you are a Electrical Design Engineer with e... | Electrical Design, Data Center, Construction, ... | Plano, TX | Plano | TX | 33.019843 | -96.698886 | Unknown | Unknown | Unknown | https://www.cybercoders.com/electrical-design-... |
| 411 | Data Engineer | Controls Engineer, PLC, HMI, AutoCAD, Motion C... | If you are a Controls Engineer, please read on... | HMI, PLC, AutoCAD, Robotics, Machine Control S... | Timberlake, VA | Timberlake | VA | 37.320699 | -79.257525 | Unknown | Unknown | Unknown | https://www.cybercoders.com/controls-engineer-... |
| 412 | Data Engineer | Verification Engineer- ASIC/SoC, verification ... | If you are a Verification Engineer- ASIC/SoC, ... | ASIC/SoC, Verification Flows, Verification pro... | Santa Clara, CA | Santa Clara | CA | 37.354108 | -121.955236 | 160000 | 200000 | 180000 | https://www.cybercoders.com/verification-engin... |
| 413 | Data Engineer | ASIC/SoC Verification Engineer- verification f... | If you are a ASIC/SoC Verification Engineer- v... | ASIC/SoC, Verification Flows, Verification pro... | Santa Clara, CA | Santa Clara | CA | 37.354108 | -121.955236 | 160000 | 200000 | 180000 | https://www.cybercoders.com/asic-soc-verificat... |
| 414 | Data Engineer | Senior Database Engineer- (Java / PostgreSQL) | If you are an experienced Senior Database Engi... | PostgreSQL, Java, Distributed Systems, Core Ja... | Burlington, MA | Burlington | MA | 42.504716 | -71.195621 | 100000 | 150000 | 125000 | https://www.cybercoders.com/senior-database-en... |
| 415 | Data Engineer | Senior Software Engineer- (Java / PostgreSQL) | If you are an experienced Senior Software Engi... | PostgreSQL, Java, Distributed Systems, Core Ja... | Burlington, MA | Burlington | MA | 42.504716 | -71.195621 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-software-en... |
| 416 | Data Engineer | NodeJS / NPM / Socket.IO - Senior Back-end Jav... | We're an Aliso Viejo based Technology Company ... | Node.js, Golang, NPM, Socket.io, High availabi... | Aliso Viejo, CA | Aliso Viejo | CA | 33.568461 | -117.726298 | 110000 | 150000 | 130000 | https://www.cybercoders.com/nodejs-npm-socket-... |
| 417 | Data Engineer | SDET | If you are a SDET who specializes in automatin... | Test Automation, Java/Javascript, Selenium Web... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 90000 | 120000 | 105000 | https://www.cybercoders.com/sdet-job-424167 |
| 418 | Data Engineer | Network Solutions Architect (SDN, SD-WAN, DC) | Leading solutions provider partnered with EMC,... | CCIE, Pre Sales, Cisco Data Center, Enterprise... | Houston, TX | Houston | TX | 29.760427 | -95.369803 | Unknown | Unknown | Unknown | https://www.cybercoders.com/network-solutions-... |
| 419 | Data Engineer | Network Solutions Architect (SDN, SD-WAN, DC) | Leading solutions provider partnered with EMC,... | CCIE, Pre Sales, Cisco Data Center, Enterprise... | Plano, TX | Plano | TX | 33.019843 | -96.698886 | Unknown | Unknown | Unknown | https://www.cybercoders.com/network-solutions-... |
| 420 | Data Engineer | Lead Cloud Infrastructure Engineer- SaaS/PaaS/... | Located in beautiful Berkeley, CA, we are a he... | SaaS/IaaS, Mac, Active Directory, AWS, Network | Berkeley, CA | Berkeley | CA | 37.871593 | -122.272747 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-cloud-infrast... |
| 421 | Data Analyst | Data Analyst | If you are a Data Analyst with experience, ple... | Scala /Python /Java, Algorithms, Hadoop, SQL, ... | Jersey City, NJ | Jersey City | NJ | 40.728157 | -74.077642 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-analyst-job-4... |
| 422 | Data Analyst | Data Analyst | If you are a Data Analyst with experience, ple... | Software Development, SQL, Data Analysis, Exce... | Kansas City, MO | Kansas City | MO | 39.099727 | -94.578567 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-analyst-job-4... |
| 423 | Data Analyst | Senior Data Analyst | If you are a Senior Data Analyst with eCommerc... | Data Analysis, SQL, E-Commerce, Retail analyti... | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | 80000 | 110000 | 95000 | https://www.cybercoders.com/senior-data-analys... |
| 424 | Data Analyst | Marketing Data Analyst | If you are a Database Analyst, Data Analyst or... | SQL Queries, Marketing Analysis, E-Commerce | Cambridge, MA | Cambridge | MA | 42.373616 | -71.109733 | 70000 | 90000 | 80000 | https://www.cybercoders.com/marketing-data-ana... |
| 425 | Data Analyst | Senior Data Analyst | If you are a Data Analyst with strong SQL skil... | Reporting, Architecture, Security | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 80000 | 110000 | 95000 | https://www.cybercoders.com/senior-data-analys... |
| 426 | Data Analyst | Lead Data Analyst | If you are a Lead Data Analyst with Python, Ta... | Python, SQL, Tableau | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-data-analyst-... |
| 427 | Data Analyst | IT Data Analyst | If you are a IT Data Analyst with experience, ... | Kimball, iSeries, SQL, T-SQL, SISS, Ssrs, Tabl... | Rock Hill, SC | Rock Hill | SC | 34.924867 | -81.025078 | Unknown | Unknown | Unknown | https://www.cybercoders.com/it-data-analyst-jo... |
| 428 | Data Analyst | Entry-Level Marketing Data Analyst | If you are a Marketing Analyst, Database Analy... | Python, SQL, C/C++, Marketing Analytics | Princeton, NJ | Princeton | NJ | 40.357298 | -74.667223 | 70000 | 85000 | 77500 | https://www.cybercoders.com/entry-level-market... |
| 429 | Data Analyst | Senior Data Analyst (SQL/Tableau) | If you are a Senior Data Analyst with SQL and ... | SQL, Tableau, Data Analyst, Ssrs, Ssis, adhoc | Yakima, WA | Yakima | WA | 46.602071 | -120.505899 | 80000 | 120000 | 100000 | https://www.cybercoders.com/senior-data-analys... |
| 430 | Data Analyst | Junior Data Analyst - Math, Data, Excel | Job Title: Junior Data AnalystJob Location: ... | Ability to be client facing, Mathematics, Can ... | Mount Pleasant, SC | Mount Pleasant | SC | 32.832322 | -79.828426 | 40000 | 60000 | 50000 | https://www.cybercoders.com/junior-data-analys... |
| 431 | Data Analyst | Data Reporting Analyst | If you are a Data Reporting Analyst with SQL a... | SQL, Visual Basics, Excel, Access | Washington, DC | Washington | DC | 38.907192 | -77.036871 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-reporting-ana... |
| 432 | Data Analyst | Data Reporting Analyst | If you are a Data Reporting Analyst with SQL a... | SQL, Visual Basics, Excel, Access | Pittsburgh, PA | Pittsburgh | PA | 40.440625 | -79.995886 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-reporting-ana... |
| 433 | Data Analyst | Data Management Analyst | If you are an Data Management Analyst with exp... | Excel, Oracle, SQL, Metadata, Reference Data M... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-management-an... |
| 434 | Data Analyst | Lead Data Science Analyst | If you are a Lead Data Science Analyst with Py... | Python, SQL, Tableau | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/lead-data-science-... |
| 435 | Data Analyst | Senior Data Science Analyst | If you are a Senior Data Science Analyst with ... | Python, SQL, Tableau | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-data-scienc... |
| 436 | Data Analyst | Data Warehouse Analyst | If you are a Data Warehouse Analyst with exper... | SQL Server Development, TSQL, SSIS/SSRS, Data ... | Pleasanton, CA | Pleasanton | CA | 37.662431 | -121.874679 | 75000 | 90000 | 82500 | https://www.cybercoders.com/data-warehouse-ana... |
| 437 | Data Analyst | Data Analyst - Full Scope / Lifestyle Clearance | Have a Full Scope / Lifestyle Clearance? Want ... | Data Analysis, Lifestyle Polygraph, Systems En... | Mclean, VA | Mclean | VA | 38.933868 | -77.177260 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-analyst-full-... |
| 438 | Data Analyst | Data Analyst - R, Excel, or SAS, Data Visualiz... | If you are a talented Data Analyst with strong... | Data Analysis, Data visualization/Dashboards, ... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 90000 | 100000 | 95000 | https://www.cybercoders.com/data-analyst-r-exc... |
| 439 | Data Analyst | Data Analyst - R, Data Visualization/Dashboard... | If you are a talented Data Analyst with strong... | Data Analysis, Data visualization/Dashboards, ... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 90000 | 100000 | 95000 | https://www.cybercoders.com/data-analyst-r-dat... |
| 440 | Data Analyst | Data Analyst (R // Tableau) - World-Renowned S... | If you are a talented Data Analyst with strong... | Data Analysis, Data visualization/Dashboards, ... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 90000 | 100000 | 95000 | https://www.cybercoders.com/data-analyst-r-tab... |
| 441 | Data Analyst | Data Analyst - SQL, Python/R, Hive/Spark | If you are a Data Analyst with experience, ple... | SQL, Python, R, Tableau, DOMO, Looker, Hive, S... | Los Angeles, CA | Los Angeles | CA | 34.052234 | -118.243685 | 100000 | 120000 | 110000 | https://www.cybercoders.com/data-analyst-sql-p... |
| 442 | Data Analyst | Operations Analyst Manager | If you are a Operations Analyst Manager with e... | Operations Analyst, Data Analysis, SQL, Excel | Venice, CA | Venice | CA | 33.985047 | -118.469483 | Unknown | Unknown | Unknown | https://www.cybercoders.com/operations-analyst... |
| 443 | Data Analyst | Business Analyst | Based in the heart of Philadelphia our company... | XML, Project Management, Data Analysis | Philadelphia, PA | Philadelphia | PA | 39.952584 | -75.165222 | 70000 | 85000 | 77500 | https://www.cybercoders.com/business-analyst-j... |
| 444 | Data Analyst | Business Analyst | If you are a Business Analyst with experience,... | Business Analyst, Business Analysis, SQL, Data... | Princeton, NJ | Princeton | NJ | 40.357298 | -74.667223 | Unknown | Unknown | Unknown | https://www.cybercoders.com/business-analyst-j... |
| 445 | Data Analyst | Healthcare Business Analyst | Based in beautiful Palm Springs, we are a wel... | Healthcare, Financial Analyst, Medical Billing... | Palm Springs, CA | Palm Springs | CA | 33.830296 | -116.545292 | Unknown | Unknown | Unknown | https://www.cybercoders.com/healthcare-busines... |
| 446 | Data Analyst | Marketing Analyst | If you are a Business Analyst with experience,... | Business Analytics, Python, SQL, Data Analysis... | Princeton, NJ | Princeton | NJ | 40.357298 | -74.667223 | Unknown | Unknown | Unknown | https://www.cybercoders.com/marketing-analyst-... |
| 447 | Data Analyst | Financial Analyst | Growing team is seeking a high energy, passion... | Financial Analysis, Manufacturing (high-volume... | Randleman, NC | Randleman | NC | 35.817914 | -79.803087 | 50000 | 60000 | 55000 | https://www.cybercoders.com/financial-analyst-... |
| 448 | Data Analyst | Reporting Analyst | If you are a Reporting Analyst with experience... | SQL, Data Analysis, T-SQL, Writing SSRS Report... | Pleasanton, CA | Pleasanton | CA | 37.662431 | -121.874679 | 75000 | 90000 | 82500 | https://www.cybercoders.com/reporting-analyst-... |
| 449 | Data Analyst | Sr. Business Analyst (Salesforce.com) | If you are a Sr. Business Analyst with Salesfo... | Technical Writing - Software Documentation, Cr... | Canoga Park, CA | Canoga Park | CA | 34.208254 | -118.605861 | 50000 | Unknown | 25000 | https://www.cybercoders.com/sr-business-analys... |
| 450 | Data Analyst | Financial Analyst | If you are a Financial Analyst with experience... | Financial Analysis, Excel, Financial Modeling,... | Laguna Niguel, CA | Laguna Niguel | CA | 33.523674 | -117.714944 | Unknown | Unknown | Unknown | https://www.cybercoders.com/financial-analyst-... |
| 451 | Data Analyst | Financial Analyst | If you are a Financial Analyst with experience... | Financial Analysis, Excel, Financial Modeling,... | Laguna Niguel, CA | Laguna Niguel | CA | 33.523674 | -117.714944 | Unknown | Unknown | Unknown | https://www.cybercoders.com/financial-analyst-... |
| 452 | Data Analyst | Senior Information Security Analyst | If you are a Security Analyst with experience,... | Information Security, CISSP or CISA or CCNP or... | Ventura, CA | Ventura | CA | 34.280492 | -119.294520 | 90000 | 120000 | 105000 | https://www.cybercoders.com/senior-information... |
| 453 | Data Analyst | Senior Information Security Analyst | If you are a Security Analyst with experience,... | Information Security, CISSP or CISA or CCNP or... | Ventura, CA | Ventura | CA | 34.280492 | -119.294520 | 90000 | 120000 | 105000 | https://www.cybercoders.com/senior-information... |
| 454 | Data Analyst | Information Security Analyst | If you are a Security Analyst with experience,... | Information Security, CISSP or CISA or CCNP or... | Ventura, CA | Ventura | CA | 34.280492 | -119.294520 | 70000 | 120000 | 95000 | https://www.cybercoders.com/information-securi... |
| 455 | Data Analyst | Operations Financial Analyst | If you are a Operations Financial Analyst with... | Microsoft Excel, PowerPoint, Data Management, ... | El Segundo, CA | El Segundo | CA | 33.919180 | -118.416465 | Unknown | Unknown | Unknown | https://www.cybercoders.com/operations-financi... |
| 456 | Data Analyst | Application Support Analyst | If you are an Application Support Analyst, Bus... | Application Support, Business Analysis, System... | Indianapolis, IN | Indianapolis | IN | 39.768403 | -86.158068 | 60000 | 75000 | 67500 | https://www.cybercoders.com/application-suppor... |
| 457 | Data Analyst | Project Control Analyst | If you are a Project Controls Analyst with cap... | Cost Management, Planning, Scheduling, Large C... | San Ramon, CA | San Ramon | CA | 37.779927 | -121.978015 | 80000 | 120000 | 100000 | https://www.cybercoders.com/project-control-an... |
| 458 | Data Analyst | Senior Project Control Analyst | Senior Project Control Analyst/Leader/ManagerL... | Cost Management, Large Capital Projects, Proje... | San Ramon, CA | San Ramon | CA | 37.779927 | -121.978015 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-project-con... |
| 459 | Data Analyst | Lead Salesforce Analyst | We are seeking a Lead Salesforce Configurator/... | Salesforce Certification, Workflow rules / Pro... | Orange, CA | Orange | CA | 33.787914 | -117.853101 | 100000 | 130000 | 115000 | https://www.cybercoders.com/lead-salesforce-an... |
| 460 | Data Analyst | Lead Salesforce Analyst | We are seeking a Lead Salesforce Configurator/... | Salesforce Certification, Workflow rules / Pro... | Orange, CA | Orange | CA | 33.787914 | -117.853101 | 100000 | 130000 | 115000 | https://www.cybercoders.com/lead-salesforce-an... |
| 461 | Data Analyst | Business Analyst - Internal Business Process I... | Do you have experience with Internal Business ... | Business Process Standardization, 4 year degre... | Las Vegas, NV | Las Vegas | NV | 36.169941 | -115.139830 | 50000 | 60000 | 55000 | https://www.cybercoders.com/business-analyst-i... |
| 462 | Data Analyst | Junior Business Analyst - Internal Policies an... | Do you have experience with Internal Business ... | Business Analysis, 4 year degree, Experience r... | Las Vegas, NV | Las Vegas | NV | 36.169941 | -115.139830 | 50000 | 60000 | 55000 | https://www.cybercoders.com/junior-business-an... |
| 463 | Data Analyst | Sr. QA Test Analyst | If you are a Sr. QA Test Analyst with a passio... | Create test plans/cases, QA in an e-Commerce e... | Woodland Hills, CA | Woodland Hills | CA | 34.165357 | -118.608975 | 75000 | 110000 | 92500 | https://www.cybercoders.com/sr-qa-test-analyst... |
| 464 | Data Analyst | Sr. QA Analyst | If you are a Sr. QA Analyst with a passion for... | Create test plans/cases, QA in an e-Commerce e... | Woodland Hills, CA | Woodland Hills | CA | 34.165357 | -118.608975 | 75000 | 110000 | 92500 | https://www.cybercoders.com/sr-qa-analyst-job-... |
| 465 | Data Analyst | Financial Analyst - Public Biopharma | Emerging clinical-stage biopharmaceutical comp... | Public Accounting, Biotech/Pharma Industry, Bu... | Newton, MA | Newton | MA | 42.337041 | -71.209221 | Unknown | Unknown | Unknown | https://www.cybercoders.com/financial-analyst-... |
| 466 | Data Analyst | Marketing/Scheduling Analyst- Home Building | If you are a Marketing/Scheduling Analyst with... | Product Positioning, Scheduling, Analyzing Dat... | Scottsdale, AZ | Scottsdale | AZ | 33.494170 | -111.926052 | 60000 | 80000 | 70000 | https://www.cybercoders.com/marketing-scheduli... |
| 467 | Data Analyst | Business Process Analyst | Do you have experience with Internal Business ... | Business Analysis, 4 year degree, Experience r... | Las Vegas, NV | Las Vegas | NV | 36.169941 | -115.139830 | 50000 | 60000 | 55000 | https://www.cybercoders.com/business-process-a... |
| 468 | Data Analyst | Application Analyst - Payroll, Benefits, User ... | Located in Providence, RI, we're a large emplo... | Financial Systems, General Ledger, User Securi... | Providence, RI | Providence | RI | 41.823989 | -71.412834 | 80000 | 85000 | 82500 | https://www.cybercoders.com/application-analys... |
| 469 | Data Analyst | Programmer Analyst - C#, ASP.NET | Do you have recent coding experience in C# and... | ASP.NET MVC, C#/.NET, SQL Server, Developing C... | Las Vegas, NV | Las Vegas | NV | 36.169941 | -115.139830 | Unknown | Unknown | Unknown | https://www.cybercoders.com/programmer-analyst... |
| 470 | Business Intelligence | BI Director | If you are a BI Director with experience, plea... | BI Reporting, Data Integration, ETL, data docu... | Austin, TX | Austin | TX | 30.267153 | -97.743061 | 130000 | 160000 | 145000 | https://www.cybercoders.com/bi-director-job-42... |
| 471 | Business Intelligence | BI Report Developer | If you are a BI Report Developer with experien... | Business Intelligence, MS SQL Server, Ssrs, Ss... | White Plains, NY | White Plains | NY | 41.033986 | -73.762910 | 90000 | 110000 | 100000 | https://www.cybercoders.com/bi-report-develope... |
| 472 | Business Intelligence | BI Report Developer | If you are a BI Report Developer with experien... | Business Intelligence, MS SQL Server, Ssrs, Ss... | White Plains, NY | White Plains | NY | 41.033986 | -73.762910 | 90000 | 110000 | 100000 | https://www.cybercoders.com/bi-report-develope... |
| 473 | Business Intelligence | Sr. Business Intelligence Developer | If you are a Sr. Business Intelligence Develop... | Business Intelligence, Relational Databases, S... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 90000 | 110000 | 100000 | https://www.cybercoders.com/sr-business-intell... |
| 474 | Business Intelligence | Director of Business Intelligence | If you are a hands-on Director of Business Int... | Business Intelligence, Data Warehousing, AWS, ... | San Diego, CA | San Diego | CA | 32.715738 | -117.161084 | Unknown | Unknown | Unknown | https://www.cybercoders.com/director-of-busine... |
| 475 | Business Intelligence | Director of Business Intelligence | If you are a hands-on Director of Business Int... | Business Intelligence, Data Warehousing, AWS, ... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/director-of-busine... |
| 476 | Business Intelligence | Oracle BI Solution Architect | If you are a Oracle BI Solution Architect with... | SDLC Methodologies, Oracle R12 business Suite,... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/oracle-bi-solution... |
| 477 | Business Intelligence | Oracle BI Solution Architect | If you are a Oracle BI Solution Architect with... | SDLC Methodologies, Oracle R12 business Suite,... | Costa Mesa, CA | Costa Mesa | CA | 33.641216 | -117.918822 | Unknown | Unknown | Unknown | https://www.cybercoders.com/oracle-bi-solution... |
| 478 | Business Intelligence | Product Manager - Business Intelligence | If you are a Product Manager with Business Int... | Product Management, Business Intelligence, Pro... | Port Washington, NY | Port Washington | NY | 40.825656 | -73.698186 | Unknown | Unknown | Unknown | https://www.cybercoders.com/product-manager-bu... |
| 479 | Business Intelligence | Senior Claims Representative - BI experience! | Do you have experience in Senior Claims? Does ... | Insurance, Claims, Bodily Injury, Litigation, ... | Kansas City, MO | Kansas City | MO | 39.099727 | -94.578567 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-claims-repr... |
| 480 | Business Intelligence | BI Developer - Azure SQL, PowerBI | We are a Healthcare Solutions company in the O... | Azure SQL, PowerBI, Warehouse design | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 60000 | Unknown | 30000 | https://www.cybercoders.com/bi-developer-azure... |
| 481 | Business Intelligence | SQL Development Specialist - Data Extraction, ... | THIS POSITION PROVIDES RELOCATION TO DAPHNE, A... | SQL Server, SSIS/SSRS, Data Scraping, Microsof... | Daphne, AL | Daphne | AL | 30.603525 | -87.903605 | 70000 | 85000 | 77500 | https://www.cybercoders.com/sql-development-sp... |
| 482 | Business Intelligence | Data Warehouse Architect | If you are a Data Warehouse Architect with ETL... | ETL, Business Intelligence, SQL Server | Atlanta, GA | Atlanta | GA | 33.748995 | -84.387982 | Unknown | Unknown | Unknown | https://www.cybercoders.com/data-warehouse-arc... |
| 483 | Business Intelligence | Director of Analytics (SQL, Tableau) | Fast-growing Educational Tech company that inc... | Analytics, Data Analysis, Business Intelligenc... | Brooklyn, NY | Brooklyn | NY | 40.678178 | -73.944158 | 150000 | 200000 | 175000 | https://www.cybercoders.com/director-of-analyt... |
| 484 | Business Intelligence | Account Executive - SaaS, Analytics/Data | Based in Seattle, we are a business intelligen... | Account Executive, Sales, SaaS, Business Intel... | Seattle, WA | Seattle | WA | 47.606209 | -122.332071 | Unknown | Unknown | Unknown | https://www.cybercoders.com/account-executive-... |
| 485 | Business Intelligence | Sr ETL / Tableau Developer | We are a fast growing organization that is one... | ETL, RDBMS, Tableau, SQL, API, NoSQL, MongoDB,... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/sr-etl-tableau-dev... |
| 486 | Business Intelligence | Director of Delivery - Data Analytics, Big Dat... | If you are a Director of Delivery with experie... | Data Analysis, Business Intelligence, E-Commer... | Milpitas, CA | Milpitas | CA | 37.432334 | -121.899574 | 175000 | 225000 | 200000 | https://www.cybercoders.com/director-of-delive... |
| 487 | Business Intelligence | Sr. Software Systems Developer | Attention Sr Software Developers!!! If you hav... | Software Development, Business Intelligence, C... | Berlin, WI | Berlin | WI | 43.968036 | -88.943448 | 90000 | 120000 | 105000 | https://www.cybercoders.com/sr-software-system... |
| 488 | Business Intelligence | Technical Customer Success Manager | If you are a Customer Success Manager with exp... | Customer Success Experience, Customer Renewals... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 75000 | 90000 | 82500 | https://www.cybercoders.com/technical-customer... |
| 489 | Business Intelligence | Oracle Applications Developer | If you are a Oracle Applications Developer, re... | Oracle, Oracle E-Business Suite, Oracle Forms,... | San Diego, CA | San Diego | CA | 32.715738 | -117.161084 | Unknown | Unknown | Unknown | https://www.cybercoders.com/oracle-application... |
| 490 | Business Intelligence | Director of Analytics | If you are a Director of Analytics with experi... | SQL, Python, R, Statistics, Analytics, E-Comme... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 140000 | 200000 | 170000 | https://www.cybercoders.com/director-of-analyt... |
| 491 | Business Intelligence | Director of Delivery - Retail/E-Commerce | If you are a Director of Delivery - Retail/E-C... | Delivery, Retail, E-Commerce, client-facing, D... | Milpitas, CA | Milpitas | CA | 37.432334 | -121.899574 | 175000 | 200000 | 187500 | https://www.cybercoders.com/director-of-delive... |
| 492 | Business Intelligence | Solutions Architect - Excel, SQL, Tableau | Keep in mind that if you fill out our 5 minute... | Excel, Power BI, Tableau, .NET, Java, Pre-Sale... | Peoria, IL | Peoria | IL | 40.693649 | -89.588986 | 75000 | 85000 | 80000 | https://www.cybercoders.com/solutions-architec... |
| 493 | Business Intelligence | JD Edwards EnterpriseOne Developer | If you are a JD Edwards EnterpriseOne Develope... | JD Edwards Enterprise One, Sales and Distribut... | White Plains, NY | White Plains | NY | 41.033986 | -73.762910 | Unknown | Unknown | Unknown | https://www.cybercoders.com/jd-edwards-enterpr... |
| 494 | Business Intelligence | Software Developer (SSIS/SSRS) | If you are a Software Developer SSRS/SSIS with... | ETL, SQL, C#, .NET, BI, T-SQL, Ssis, Ssrs, GIT... | Portland, ME | Portland | ME | 43.659099 | -70.256819 | 70000 | 90000 | 80000 | https://www.cybercoders.com/software-developer... |
| 495 | Business Intelligence | Senior Product Marketing Manager | If you are a Senior Product Marketing Manager ... | Product Marketing, Product Manager, Business i... | San Francisco, CA | San Francisco | CA | 37.774929 | -122.419415 | 140000 | 200000 | 170000 | https://www.cybercoders.com/senior-product-mar... |
| 496 | Business Intelligence | Lead Solutions Architect ($100k-$150k) | If you are a Solutions Architect with experien... | Java, J2EE, Apache Storm, Kafka, ElasticSearch... | Houston, TX | Houston | TX | 29.760427 | -95.369803 | 100000 | 150000 | 125000 | https://www.cybercoders.com/lead-solutions-arc... |
| 497 | Business Intelligence | Information Architect | If you are an Information Architect with exper... | Information Management, Data Analysis, Busines... | Saint Louis, MO | Saint Louis | MO | 38.627003 | -90.199404 | 90000 | 130000 | 110000 | https://www.cybercoders.com/information-archit... |
| 498 | Business Intelligence | JD Edwards EnterpriseOne Developer | If you are a JD Edwards EnterpriseOne Develope... | JD Edwards Enterprise One, Sales and Distribut... | White Plains, NY | White Plains | NY | 41.033986 | -73.762910 | Unknown | Unknown | Unknown | https://www.cybercoders.com/jd-edwards-enterpr... |
| 499 | Business Intelligence | Lead Solutions Architect | If you are a Solutions Architect with experien... | Java, J2EE, Apache Storm, Kafka, ElasticSearch... | Missouri City, TX | Missouri City | TX | 29.618567 | -95.537722 | 100000 | 150000 | 125000 | https://www.cybercoders.com/lead-solutions-arc... |
| 500 | Business Intelligence | JD Edwards EnterpriseOne Developer | If you are a JD Edwards EnterpriseOne Develope... | JD Edwards Enterprise One, Sales and Distribut... | White Plains, NY | White Plains | NY | 41.033986 | -73.762910 | Unknown | Unknown | Unknown | https://www.cybercoders.com/jd-edwards-enterpr... |
| 501 | Business Intelligence | Lead Solutions Architect ($140k) | If you are a Solutions Architect with experien... | Java, J2EE, Apache Storm, Kafka, ElasticSearch... | Katy, TX | Katy | TX | 29.785785 | -95.824396 | 100000 | 150000 | 125000 | https://www.cybercoders.com/lead-solutions-arc... |
| 502 | Business Intelligence | Senior Product Manager | Based in Austin, we are a revolutionary cognit... | Product Management, Enterprise B2B Platforms, ... | Austin, TX | Austin | TX | 30.267153 | -97.743061 | Unknown | Unknown | Unknown | https://www.cybercoders.com/senior-product-man... |
| 503 | Business Intelligence | SharePoint Developer (Applications Management) | We are a diversified media company owning publ... | SharePoint, .NET, SDLC, Power BI, Microsoft Te... | South Bend, IN | South Bend | IN | 41.676355 | -86.251990 | 80000 | 100000 | 90000 | https://www.cybercoders.com/sharepoint-develop... |
| 504 | Business Intelligence | Microsoft Developer | We are a diversified media company owning publ... | SharePoint, .NET, SDLC, Power BI, Microsoft Te... | South Bend, IN | South Bend | IN | 41.676355 | -86.251990 | 80000 | 100000 | 90000 | https://www.cybercoders.com/microsoft-develope... |
| 505 | Business Intelligence | JD Edwards Enterprise One 9.1 Specialist - Con... | If you are a JD Edwards Enterprise One 9.1 spe... | JD Edwards Enterprise One 9.1, OneView, ASP.NE... | Torrington, CT | Torrington | CT | 41.800305 | -73.121172 | 110000 | 150000 | 130000 | https://www.cybercoders.com/jd-edwards-enterpr... |
| 506 | Business Intelligence | Developer/Project Manager with SharePoint expe... | We are a diversified media company owning publ... | SharePoint, .NET, Power BI, Microsoft Teams, M... | South Bend, IN | South Bend | IN | 41.676355 | -86.251990 | 80000 | 110000 | 95000 | https://www.cybercoders.com/developer-project-... |
| 507 | Business Intelligence | Accounting Manager | Sick of working in the grind of public account... | Managing Accountants, Advanced Excel Skills, R... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | Unknown | Unknown | Unknown | https://www.cybercoders.com/accounting-manager... |
| 508 | Business Intelligence | Financial Analyst | Job title: Financial AnalystLocation: 405 FW... | Financial Analysis, Financial Modeling, Budget... | Santa Ana, CA | Santa Ana | CA | 33.745472 | -117.867653 | 70000 | 90000 | 80000 | https://www.cybercoders.com/financial-analyst-... |
| 509 | Business Intelligence | Database Architect | If you are a Database Architect with experienc... | SQL, Database Architect, MySQL | Redwood City, CA | Redwood City | CA | 37.485215 | -122.236355 | Unknown | Unknown | Unknown | https://www.cybercoders.com/database-architect... |
| 510 | Business Intelligence | Lead Java Engineer - SOA, Micro-Services | Located in beautiful Palo Alto, CA we are look... | SaaS, Service-Oriented Architecture, micro-ser... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 175000 | 200000 | 187500 | https://www.cybercoders.com/lead-java-engineer... |
| 511 | Business Intelligence | Sr Back-End Engineer - Java, SaaS | Located in beautiful Palo Alto, CA we are look... | Java, SaaS, JavaScript, HTML/CSS, Spring, Boot... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 150000 | 175000 | 162500 | https://www.cybercoders.com/sr-back-end-engine... |
| 512 | Business Intelligence | Lead Platform Engineer/Architect - SOA, Micro-... | Located in beautiful Palo Alto, CA we are look... | SaaS, Service-Oriented Architecture, micro-ser... | Palo Alto, CA | Palo Alto | CA | 37.441883 | -122.143019 | 175000 | 200000 | 187500 | https://www.cybercoders.com/lead-platform-engi... |
| 513 | Business Intelligence | Senior Full Stack Developer - ASP.NET MVC, C# | Are you a Senior Fullstack .NET Developer that... | ASP.NET MVC, C#, JavaScript, WCF, RESTful API's | Santa Monica, CA | Santa Monica | CA | 34.019454 | -118.491191 | 110000 | 160000 | 135000 | https://www.cybercoders.com/senior-full-stack-... |
| 514 | Business Intelligence | Machine Learning Evangelist - Ai | If you are a Machine Learning Evangelist with ... | AI, Marketing, Strategic Partnerships, Busines... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 200000 | 250000 | 225000 | https://www.cybercoders.com/machine-learning-e... |
| 515 | Business Intelligence | Director of Market Development - Ai | If you are a Machine Learning Evangelist with ... | AI, Marketing, Strategic Partnerships, Busines... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 200000 | 250000 | 225000 | https://www.cybercoders.com/director-of-market... |
| 516 | Business Intelligence | Ai Software Executive - Evangelist | If you are a Ai Software Executive/ Evangelist... | AI, Marketing, Strategic Partnerships, Busines... | San Mateo, CA | San Mateo | CA | 37.562992 | -122.325525 | 200000 | 250000 | 225000 | https://www.cybercoders.com/ai-software-execut... |
| 517 | Business Intelligence | Senior Product Marketing Manager | If you are a Product Marketing Manager with en... | Product Marketing, Enterprise Software, RPA Ro... | Irvine, CA | Irvine | CA | 33.684567 | -117.826505 | 120000 | 140000 | 130000 | https://www.cybercoders.com/senior-product-mar... |
| 518 | Business Intelligence | Sales Representative - Software / Mobile Solut... | If you are a Software Sales Representative who... | Sales Representative, Business Development, So... | New York City, NY | New York City | NY | 40.712775 | -74.005973 | 60000 | 160000 | 110000 | https://www.cybercoders.com/sales-representati... |
search_counts = master_data['Search'].value_counts()
search_counts
Data Engineer 349 Data Scientist 72 Data Analyst 49 Business Intelligence 49 Name: Search, dtype: int64
On the cybercoders website, given these four search terms the Data Engineer term is by far the most frequent listing. This may skew our data and will need to be accounted for in this analysis.
search_freqDF = pd.DataFrame({'Frequency' : search_counts.values, 'Search' : search_counts.index, })
search_freqDF = search_freqDF[['Search','Frequency']]
percent1 = []
for i in range(len(search_freqDF)):
holder1 = round(search_freqDF['Frequency'][i] / search_counts.values.sum(), 4)
percent1.append(holder1)
search_freqDF['Percent of Total'] = percent1
search_freqDF
| Search | Frequency | Percent of Total | |
|---|---|---|---|
| 0 | Data Engineer | 349 | 0.6724 |
| 1 | Data Scientist | 72 | 0.1387 |
| 2 | Data Analyst | 49 | 0.0944 |
| 3 | Business Intelligence | 49 | 0.0944 |
As noted previously, a large proportion of the listings scraped given the four search terms (Data Scientist, Data Engineer, Data Analyst, and Business Intelligence) are allocated to the Data Engineer position at 67.24%
(ggplot(master_data, aes(x = 'Search',fill = 'Search')) +
geom_bar(stat = "count", position='stack') +
labs(title = "Frequency Distribution for Data Scientist, Data Engineer, Data Analyst, and BI Roles", x = "Search", y = "Frequency")
)
<ggplot: (-9223372029288928263)>
plt.rcParams['figure.figsize'] = (10,20)
labels = search_counts.index[0], search_counts.index[1], search_counts.index[2], search_counts.index[3]
fracs = [search_counts[i] for i in range(len(search_counts))]
explode = [0.05, 0.05, 0.1, 0.05]
plt.axes(aspect=1)
colors = ['lightcoral', 'cyan','lightskyblue','lightgreen']
plt.title('Pie Chart for Data Science Related Jobs (Data Scientist, Data Engineer, Data Analyst, Business Intelligence)')
plt.pie(x=fracs, labels=labels, explode=explode, autopct='%9.1f %%', colors=colors,
shadow=True, labeldistance=1.1, startangle = 90, pctdistance = 0.8)
plt.show()
state_counts = master_data['States'].value_counts()
state_counts
CA 255 NY 50 MA 27 VA 20 TX 15 WA 14 PA 12 MD 11 NC 11 IL 9 NJ 9 GA 8 MO 7 NV 6 MI 6 DC 6 TN 5 IN 5 CO 5 SC 5 AL 4 FL 4 MN 3 IA 2 RI 2 NH 2 NE 2 OH 2 ON 2 CT 2 OR 1 AB 1 ME 1 WI 1 KS 1 KY 1 UT 1 AZ 1 Name: States, dtype: int64
Here we discover that 255 of our listings are those located in the state of California. Intuition says that this may be due to the large number of technology jobs in the Silicon Valley/Bay Area. Given that we are interested in data science related jobs this makes sense.
state_freqDF = pd.DataFrame({'Frequency' : state_counts.values, 'States' : state_counts.index, })
state_freqDF = state_freqDF[['States','Frequency']]
percent2 = []
for i in range(len(state_freqDF)):
holder2 = round(state_freqDF['Frequency'][i] / state_counts.values.sum(), 4)
percent2.append(holder2)
state_freqDF['Percent of Total'] = percent2
state_freqDF
| States | Frequency | Percent of Total | |
|---|---|---|---|
| 0 | CA | 255 | 0.4913 |
| 1 | NY | 50 | 0.0963 |
| 2 | MA | 27 | 0.0520 |
| 3 | VA | 20 | 0.0385 |
| 4 | TX | 15 | 0.0289 |
| 5 | WA | 14 | 0.0270 |
| 6 | PA | 12 | 0.0231 |
| 7 | MD | 11 | 0.0212 |
| 8 | NC | 11 | 0.0212 |
| 9 | IL | 9 | 0.0173 |
| 10 | NJ | 9 | 0.0173 |
| 11 | GA | 8 | 0.0154 |
| 12 | MO | 7 | 0.0135 |
| 13 | NV | 6 | 0.0116 |
| 14 | MI | 6 | 0.0116 |
| 15 | DC | 6 | 0.0116 |
| 16 | TN | 5 | 0.0096 |
| 17 | IN | 5 | 0.0096 |
| 18 | CO | 5 | 0.0096 |
| 19 | SC | 5 | 0.0096 |
| 20 | AL | 4 | 0.0077 |
| 21 | FL | 4 | 0.0077 |
| 22 | MN | 3 | 0.0058 |
| 23 | IA | 2 | 0.0039 |
| 24 | RI | 2 | 0.0039 |
| 25 | NH | 2 | 0.0039 |
| 26 | NE | 2 | 0.0039 |
| 27 | OH | 2 | 0.0039 |
| 28 | ON | 2 | 0.0039 |
| 29 | CT | 2 | 0.0039 |
| 30 | OR | 1 | 0.0019 |
| 31 | AB | 1 | 0.0019 |
| 32 | ME | 1 | 0.0019 |
| 33 | WI | 1 | 0.0019 |
| 34 | KS | 1 | 0.0019 |
| 35 | KY | 1 | 0.0019 |
| 36 | UT | 1 | 0.0019 |
| 37 | AZ | 1 | 0.0019 |
As noted previously, a large proportion of the listings scraped given the four search terms (Data Scientist, Data Engineer, Data Analyst, and Business Intelligence) are allocated to California at 49.13%. This covers almost half of the total states represented in our population.
objects = state_counts.index
y_pos = np.arange(len(objects))
performance = state_counts.values
plt.barh(y_pos, performance, align='center', alpha=0.5)
plt.yticks(y_pos, objects)
plt.xlabel('Frequency')
plt.title('Frequency Distribution of States Represented in Population')
plt.show()
state_grouper = master_data.groupby('States')
jobs_per_state = state_grouper['Search'].value_counts()
jobs_per_state = jobs_per_state.reset_index(name = 'Frequency')
jobs_per_state
| States | Search | Frequency | |
|---|---|---|---|
| 0 | AB | Data Scientist | 1 |
| 1 | AL | Data Engineer | 3 |
| 2 | AL | Business Intelligence | 1 |
| 3 | AZ | Data Analyst | 1 |
| 4 | CA | Data Engineer | 178 |
| 5 | CA | Data Scientist | 35 |
| 6 | CA | Business Intelligence | 23 |
| 7 | CA | Data Analyst | 19 |
| 8 | CO | Data Engineer | 5 |
| 9 | CT | Business Intelligence | 1 |
| 10 | CT | Data Engineer | 1 |
| 11 | DC | Data Engineer | 5 |
| 12 | DC | Data Analyst | 1 |
| 13 | FL | Data Engineer | 4 |
| 14 | GA | Data Engineer | 4 |
| 15 | GA | Data Analyst | 3 |
| 16 | GA | Business Intelligence | 1 |
| 17 | IA | Data Engineer | 1 |
| 18 | IA | Data Scientist | 1 |
| 19 | IL | Data Engineer | 7 |
| 20 | IL | Business Intelligence | 1 |
| 21 | IL | Data Scientist | 1 |
| 22 | IN | Business Intelligence | 3 |
| 23 | IN | Data Analyst | 1 |
| 24 | IN | Data Engineer | 1 |
| 25 | KS | Data Scientist | 1 |
| 26 | KY | Data Engineer | 1 |
| 27 | MA | Data Engineer | 20 |
| 28 | MA | Data Scientist | 4 |
| 29 | MA | Data Analyst | 3 |
| 30 | MD | Data Engineer | 10 |
| 31 | MD | Data Scientist | 1 |
| 32 | ME | Business Intelligence | 1 |
| 33 | MI | Data Engineer | 6 |
| 34 | MN | Data Engineer | 3 |
| 35 | MO | Data Engineer | 4 |
| 36 | MO | Business Intelligence | 2 |
| 37 | MO | Data Analyst | 1 |
| 38 | NC | Data Engineer | 9 |
| 39 | NC | Data Analyst | 1 |
| 40 | NC | Data Scientist | 1 |
| 41 | NE | Data Engineer | 2 |
| 42 | NH | Data Engineer | 2 |
| 43 | NJ | Data Analyst | 4 |
| 44 | NJ | Data Engineer | 3 |
| 45 | NJ | Data Scientist | 2 |
| 46 | NV | Data Analyst | 4 |
| 47 | NV | Data Engineer | 2 |
| 48 | NY | Data Engineer | 23 |
| 49 | NY | Data Scientist | 14 |
| 50 | NY | Business Intelligence | 9 |
| 51 | NY | Data Analyst | 4 |
| 52 | OH | Data Engineer | 2 |
| 53 | ON | Data Engineer | 2 |
| 54 | OR | Data Engineer | 1 |
| 55 | PA | Data Engineer | 7 |
| 56 | PA | Data Scientist | 3 |
| 57 | PA | Data Analyst | 2 |
| 58 | RI | Data Analyst | 1 |
| 59 | RI | Data Engineer | 1 |
| 60 | SC | Data Engineer | 3 |
| 61 | SC | Data Analyst | 2 |
| 62 | TN | Data Scientist | 3 |
| 63 | TN | Data Engineer | 2 |
| 64 | TX | Data Engineer | 9 |
| 65 | TX | Business Intelligence | 5 |
| 66 | TX | Data Scientist | 1 |
| 67 | UT | Data Engineer | 1 |
| 68 | VA | Data Engineer | 17 |
| 69 | VA | Data Scientist | 2 |
| 70 | VA | Data Analyst | 1 |
| 71 | WA | Data Engineer | 10 |
| 72 | WA | Data Scientist | 2 |
| 73 | WA | Business Intelligence | 1 |
| 74 | WA | Data Analyst | 1 |
| 75 | WI | Business Intelligence | 1 |
(ggplot(jobs_per_state, aes(x = "States", y = 'Frequency', fill="Search")) +
geom_bar(stat = "identity",position='stack')+
theme(figure_size=(15, 10),axis_text_x= element_text(rotation=80))+
labs(title = "Distribution of Frequency of Jobs For Each State", x = "States", y = "Frequency")
)
<ggplot: (7565324566)>
As you can see from the above plot CA and NY stand out in that they represent each of the four job types. Next, we'll standardize the counts for each state given the search term to remove the skew due to the largest proportion of listings located in the state of California.
search_state_set = np.unique(jobs_per_state['States'])
search_state_dict = dict(tuple(jobs_per_state.groupby('States')))
search_freqDF = []
for state in search_state_set:
search_state_freqDF = pd.DataFrame({'Frequency' : list(search_state_dict[state]['Frequency']),
'Search' : list(search_state_dict[state]['Search']),
'States' : list(search_state_dict[state]['States'])})
search_state_freqDF = search_state_freqDF[['States', 'Search', 'Frequency']]
percent4 = []
for i in range(len(search_state_freqDF)):
holder4 = round(search_state_freqDF['Frequency'][i] / sum(list(search_state_freqDF['Frequency'])),4)
percent4.append(holder4)
search_state_freqDF['Percent of Total'] = percent4
search_freqDF.append(search_state_freqDF)
search_freqDF = pd.concat(search_freqDF, ignore_index = True)
search_freqDF
| States | Search | Frequency | Percent of Total | |
|---|---|---|---|---|
| 0 | AB | Data Scientist | 1 | 1.0000 |
| 1 | AL | Data Engineer | 3 | 0.7500 |
| 2 | AL | Business Intelligence | 1 | 0.2500 |
| 3 | AZ | Data Analyst | 1 | 1.0000 |
| 4 | CA | Data Engineer | 178 | 0.6980 |
| 5 | CA | Data Scientist | 35 | 0.1373 |
| 6 | CA | Business Intelligence | 23 | 0.0902 |
| 7 | CA | Data Analyst | 19 | 0.0745 |
| 8 | CO | Data Engineer | 5 | 1.0000 |
| 9 | CT | Business Intelligence | 1 | 0.5000 |
| 10 | CT | Data Engineer | 1 | 0.5000 |
| 11 | DC | Data Engineer | 5 | 0.8333 |
| 12 | DC | Data Analyst | 1 | 0.1667 |
| 13 | FL | Data Engineer | 4 | 1.0000 |
| 14 | GA | Data Engineer | 4 | 0.5000 |
| 15 | GA | Data Analyst | 3 | 0.3750 |
| 16 | GA | Business Intelligence | 1 | 0.1250 |
| 17 | IA | Data Engineer | 1 | 0.5000 |
| 18 | IA | Data Scientist | 1 | 0.5000 |
| 19 | IL | Data Engineer | 7 | 0.7778 |
| 20 | IL | Business Intelligence | 1 | 0.1111 |
| 21 | IL | Data Scientist | 1 | 0.1111 |
| 22 | IN | Business Intelligence | 3 | 0.6000 |
| 23 | IN | Data Analyst | 1 | 0.2000 |
| 24 | IN | Data Engineer | 1 | 0.2000 |
| 25 | KS | Data Scientist | 1 | 1.0000 |
| 26 | KY | Data Engineer | 1 | 1.0000 |
| 27 | MA | Data Engineer | 20 | 0.7407 |
| 28 | MA | Data Scientist | 4 | 0.1481 |
| 29 | MA | Data Analyst | 3 | 0.1111 |
| 30 | MD | Data Engineer | 10 | 0.9091 |
| 31 | MD | Data Scientist | 1 | 0.0909 |
| 32 | ME | Business Intelligence | 1 | 1.0000 |
| 33 | MI | Data Engineer | 6 | 1.0000 |
| 34 | MN | Data Engineer | 3 | 1.0000 |
| 35 | MO | Data Engineer | 4 | 0.5714 |
| 36 | MO | Business Intelligence | 2 | 0.2857 |
| 37 | MO | Data Analyst | 1 | 0.1429 |
| 38 | NC | Data Engineer | 9 | 0.8182 |
| 39 | NC | Data Analyst | 1 | 0.0909 |
| 40 | NC | Data Scientist | 1 | 0.0909 |
| 41 | NE | Data Engineer | 2 | 1.0000 |
| 42 | NH | Data Engineer | 2 | 1.0000 |
| 43 | NJ | Data Analyst | 4 | 0.4444 |
| 44 | NJ | Data Engineer | 3 | 0.3333 |
| 45 | NJ | Data Scientist | 2 | 0.2222 |
| 46 | NV | Data Analyst | 4 | 0.6667 |
| 47 | NV | Data Engineer | 2 | 0.3333 |
| 48 | NY | Data Engineer | 23 | 0.4600 |
| 49 | NY | Data Scientist | 14 | 0.2800 |
| 50 | NY | Business Intelligence | 9 | 0.1800 |
| 51 | NY | Data Analyst | 4 | 0.0800 |
| 52 | OH | Data Engineer | 2 | 1.0000 |
| 53 | ON | Data Engineer | 2 | 1.0000 |
| 54 | OR | Data Engineer | 1 | 1.0000 |
| 55 | PA | Data Engineer | 7 | 0.5833 |
| 56 | PA | Data Scientist | 3 | 0.2500 |
| 57 | PA | Data Analyst | 2 | 0.1667 |
| 58 | RI | Data Analyst | 1 | 0.5000 |
| 59 | RI | Data Engineer | 1 | 0.5000 |
| 60 | SC | Data Engineer | 3 | 0.6000 |
| 61 | SC | Data Analyst | 2 | 0.4000 |
| 62 | TN | Data Scientist | 3 | 0.6000 |
| 63 | TN | Data Engineer | 2 | 0.4000 |
| 64 | TX | Data Engineer | 9 | 0.6000 |
| 65 | TX | Business Intelligence | 5 | 0.3333 |
| 66 | TX | Data Scientist | 1 | 0.0667 |
| 67 | UT | Data Engineer | 1 | 1.0000 |
| 68 | VA | Data Engineer | 17 | 0.8500 |
| 69 | VA | Data Scientist | 2 | 0.1000 |
| 70 | VA | Data Analyst | 1 | 0.0500 |
| 71 | WA | Data Engineer | 10 | 0.7143 |
| 72 | WA | Data Scientist | 2 | 0.1429 |
| 73 | WA | Business Intelligence | 1 | 0.0714 |
| 74 | WA | Data Analyst | 1 | 0.0714 |
| 75 | WI | Business Intelligence | 1 | 1.0000 |
(ggplot(search_freqDF, aes(x = "States", y = 'Percent of Total', fill="Search")) +
geom_bar(stat = "identity",position='stack')+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Job Proportions For Each State", x = "States", y = "Allocation")
)
<ggplot: (-9223372029288966249)>
After converting the frequency of listings for each job type given a state we are able to have a better look at the variety of data science related options for each state. Some noteworthy states are as follows:
Four job types represented: CA, NY
Three job types represented: GA, IN, MA, MO, NC, NJ, PA, TX, VA, and WA
Later on we'll analyze skills and if you are interested in more than one of the given job types the above states may be a good place to look for a variety of data science related positions.
city_grouper = master_data.groupby('States')
jobs_per_city = city_grouper['Cities'].value_counts()
jobs_per_city = jobs_per_city.reset_index(name = 'Frequency')
jobs_per_city = jobs_per_city.sort_values(by = 'Frequency',ascending = False).reset_index(drop = True)
jobs_per_city
| States | Cities | Frequency | |
|---|---|---|---|
| 0 | CA | San Francisco | 49 |
| 1 | NY | New York City | 36 |
| 2 | CA | San Mateo | 22 |
| 3 | CA | San Jose | 22 |
| 4 | CA | Irvine | 20 |
| 5 | CA | Los Angeles | 18 |
| 6 | CA | Palo Alto | 11 |
| 7 | WA | Seattle | 10 |
| 8 | CA | Redwood City | 8 |
| 9 | MA | Cambridge | 8 |
| 10 | IL | Chicago | 8 |
| 11 | GA | Atlanta | 7 |
| 12 | VA | Reston | 7 |
| 13 | CA | Santa Monica | 7 |
| 14 | CA | Sunnyvale | 7 |
| 15 | VA | Arlington | 7 |
| 16 | MA | Burlington | 6 |
| 17 | NV | Las Vegas | 6 |
| 18 | TX | Austin | 6 |
| 19 | CA | San Diego | 6 |
| 20 | DC | Washington | 6 |
| 21 | CA | Venice | 6 |
| 22 | NY | White Plains | 5 |
| 23 | CA | San Ramon | 5 |
| 24 | CA | Mountain View | 5 |
| 25 | NC | Raleigh | 5 |
| 26 | PA | Pittsburgh | 5 |
| 27 | MI | Detroit | 4 |
| 28 | PA | Philadelphia | 4 |
| 29 | MO | Saint Louis | 4 |
| ... | ... | ... | ... |
| 132 | AL | Huntsville | 1 |
| 133 | AL | Daphne | 1 |
| 134 | CA | Van Nuys | 1 |
| 135 | CA | Ventura County | 1 |
| 136 | CA | Westwood | 1 |
| 137 | CO | Boulder | 1 |
| 138 | NC | Durham | 1 |
| 139 | NC | Charlotte | 1 |
| 140 | MO | Fenton | 1 |
| 141 | MN | Plymouth | 1 |
| 142 | MI | Wixom | 1 |
| 143 | MI | Troy | 1 |
| 144 | ME | Portland | 1 |
| 145 | MD | Rockville | 1 |
| 146 | MD | Camp Springs | 1 |
| 147 | MD | Bowie | 1 |
| 148 | MD | Baltimore | 1 |
| 149 | MD | Anne Arundel County | 1 |
| 150 | MD | Annapolis Junction | 1 |
| 151 | KY | Lexington | 1 |
| 152 | KS | Leawood | 1 |
| 153 | IL | Peoria | 1 |
| 154 | GA | Dunwoody | 1 |
| 155 | FL | Tampa | 1 |
| 156 | FL | Boca Raton | 1 |
| 157 | CT | Torrington | 1 |
| 158 | CT | Fairfield | 1 |
| 159 | CO | Loveland | 1 |
| 160 | CO | Denver | 1 |
| 161 | WI | Berlin | 1 |
162 rows × 3 columns
For now we'll ignore the fact that California is vastly represented in our population and can conclude that the following cities may be great places to search for Data Scientist, Data Engineer, Data Analyst, and Business Intelligence jobs.
1.) San Francisco, CA 2.) New York City, NY 3.) San Mateo, CA 4.) San Jose, CA 5.) Irvine, CA 6.) Los Angeles, CA 7.) Palo Alto, CA 8.) Seattle, WA 9.) Redwood City, CA 10.) Cambridge, MA
The idea behind why we feel that it is reasonable to ignore the much larger proportion of listings located in California is based on the fact that many of the technology companies which are known to have more data science positions are located in the Bay Area. We can see from above that five out of the top 10 represented cities are located in this area.
(ggplot(jobs_per_city[:20], aes(x = "States", y = 'Frequency', fill="Cities")) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 5),axis_text_x= element_text(rotation=80))+
labs(title = "Distribution of Frequency of Cities For Each State", x = "State", y = "City Frequency")
)
<ggplot: (-9223372029310727038)>
In order to support our previous statement, California stands out because compared to the other states there are many different options for city locations within that state. Unlike the other top city states where there are no more than two city options.
search_cities_set = np.unique(jobs_per_city['States'])
search_cities_dict = dict(tuple(jobs_per_city.groupby('States')))
search_cit_freqDF = []
for city in search_cities_set:
search_cities_freqDF = pd.DataFrame({'Frequency' : list(search_cities_dict[city]['Frequency']),
'Cities' : list(search_cities_dict[city]['Cities']),
'States' : list(search_cities_dict[city]['States'])})
search_cities_freqDF = search_cities_freqDF[['States','Cities','Frequency']]
percent5 = []
for i in range(len(search_cities_freqDF)):
holder5 = round(search_cities_freqDF['Frequency'][i] / sum(list(search_cities_freqDF['Frequency'])),4)
percent5.append(holder5)
search_cities_freqDF['Percent of Total'] = percent5
search_cit_freqDF.append(search_cities_freqDF)
search_cit_freqDF = pd.concat(search_cit_freqDF, ignore_index = True)
search_cit_freqDF = search_cit_freqDF.sort_values(by = 'States',ascending = True).reset_index(drop = True)
search_cit_freqDF
| States | Cities | Frequency | Percent of Total | |
|---|---|---|---|---|
| 0 | AB | Calgary | 1 | 1.0000 |
| 1 | AL | Albertville | 2 | 0.5000 |
| 2 | AL | Huntsville | 1 | 0.2500 |
| 3 | AL | Daphne | 1 | 0.2500 |
| 4 | AZ | Scottsdale | 1 | 1.0000 |
| 5 | CA | Palm Springs | 1 | 0.0039 |
| 6 | CA | Pasadena | 1 | 0.0039 |
| 7 | CA | Redondo Beach | 1 | 0.0039 |
| 8 | CA | Roseville | 1 | 0.0039 |
| 9 | CA | Santa Ana | 1 | 0.0039 |
| 10 | CA | Torrance | 1 | 0.0039 |
| 11 | CA | North Hollywood | 1 | 0.0039 |
| 12 | CA | Marina Del Rey | 1 | 0.0039 |
| 13 | CA | Pleasanton | 2 | 0.0078 |
| 14 | CA | Canoga Park | 2 | 0.0078 |
| 15 | CA | Santa Barbara | 1 | 0.0039 |
| 16 | CA | Newport Beach | 1 | 0.0039 |
| 17 | CA | Fremont | 1 | 0.0039 |
| 18 | CA | Long Beach | 1 | 0.0039 |
| 19 | CA | El Segundo | 2 | 0.0078 |
| 20 | CA | Foster City | 1 | 0.0039 |
| 21 | CA | Cupertino | 1 | 0.0039 |
| 22 | CA | Concord | 1 | 0.0039 |
| 23 | CA | Carlsbad | 1 | 0.0039 |
| 24 | CA | Campbell | 1 | 0.0039 |
| 25 | CA | Beverly Hills | 1 | 0.0039 |
| 26 | CA | Aliso Viejo | 1 | 0.0039 |
| 27 | CA | Van Nuys | 1 | 0.0039 |
| 28 | CA | Ventura County | 1 | 0.0039 |
| 29 | CA | Westwood | 1 | 0.0039 |
| 30 | CA | Napa | 1 | 0.0039 |
| 31 | CA | Gardena | 2 | 0.0078 |
| 32 | CA | San Carlos | 1 | 0.0039 |
| 33 | CA | Menlo Park | 2 | 0.0078 |
| 34 | CA | San Francisco | 49 | 0.1922 |
| 35 | CA | San Mateo | 22 | 0.0863 |
| 36 | CA | Laguna Niguel | 2 | 0.0078 |
| 37 | CA | Irvine | 20 | 0.0784 |
| 38 | CA | Los Angeles | 18 | 0.0706 |
| 39 | CA | Palo Alto | 11 | 0.0431 |
| 40 | CA | Redwood City | 8 | 0.0314 |
| 41 | CA | Santa Monica | 7 | 0.0275 |
| 42 | CA | Sunnyvale | 7 | 0.0275 |
| 43 | CA | San Diego | 6 | 0.0235 |
| 44 | CA | Venice | 6 | 0.0235 |
| 45 | CA | San Ramon | 5 | 0.0196 |
| 46 | CA | Mountain View | 5 | 0.0196 |
| 47 | CA | San Jose | 22 | 0.0863 |
| 48 | CA | Milpitas | 3 | 0.0118 |
| 49 | CA | Northridge | 2 | 0.0078 |
| 50 | CA | Norwalk | 2 | 0.0078 |
| 51 | CA | Orange | 2 | 0.0078 |
| 52 | CA | Ventura | 3 | 0.0118 |
| 53 | CA | Glendale | 3 | 0.0118 |
| 54 | CA | Santa Clara | 2 | 0.0078 |
| 55 | CA | West Hollywood | 3 | 0.0118 |
| 56 | CA | Woodland Hills | 3 | 0.0118 |
| 57 | CA | Culver City | 3 | 0.0118 |
| 58 | CA | Costa Mesa | 3 | 0.0118 |
| 59 | CA | Berkeley | 4 | 0.0157 |
| 60 | CO | Denver | 1 | 0.2000 |
| 61 | CO | Colorado Springs | 2 | 0.4000 |
| 62 | CO | Boulder | 1 | 0.2000 |
| 63 | CO | Loveland | 1 | 0.2000 |
| 64 | CT | Fairfield | 1 | 0.5000 |
| 65 | CT | Torrington | 1 | 0.5000 |
| 66 | DC | Washington | 6 | 1.0000 |
| 67 | FL | Orlando | 2 | 0.5000 |
| 68 | FL | Tampa | 1 | 0.2500 |
| 69 | FL | Boca Raton | 1 | 0.2500 |
| 70 | GA | Atlanta | 7 | 0.8750 |
| 71 | GA | Dunwoody | 1 | 0.1250 |
| 72 | IA | Grinnell | 2 | 1.0000 |
| 73 | IL | Chicago | 8 | 0.8889 |
| 74 | IL | Peoria | 1 | 0.1111 |
| 75 | IN | South Bend | 3 | 0.6000 |
| 76 | IN | Indianapolis | 2 | 0.4000 |
| 77 | KS | Leawood | 1 | 1.0000 |
| 78 | KY | Lexington | 1 | 1.0000 |
| 79 | MA | Bedford | 2 | 0.0741 |
| 80 | MA | Wellesley | 2 | 0.0741 |
| 81 | MA | Acton | 3 | 0.1111 |
| 82 | MA | Burlington | 6 | 0.2222 |
| 83 | MA | Newton | 3 | 0.1111 |
| 84 | MA | Cambridge | 8 | 0.2963 |
| 85 | MA | Boston | 3 | 0.1111 |
| 86 | MD | Bethesda | 3 | 0.2727 |
| 87 | MD | Fort Meade | 2 | 0.1818 |
| 88 | MD | Rockville | 1 | 0.0909 |
| 89 | MD | Camp Springs | 1 | 0.0909 |
| 90 | MD | Bowie | 1 | 0.0909 |
| 91 | MD | Baltimore | 1 | 0.0909 |
| 92 | MD | Anne Arundel County | 1 | 0.0909 |
| 93 | MD | Annapolis Junction | 1 | 0.0909 |
| 94 | ME | Portland | 1 | 1.0000 |
| 95 | MI | Detroit | 4 | 0.6667 |
| 96 | MI | Wixom | 1 | 0.1667 |
| 97 | MI | Troy | 1 | 0.1667 |
| 98 | MN | Saint Paul | 2 | 0.6667 |
| 99 | MN | Plymouth | 1 | 0.3333 |
| 100 | MO | Fenton | 1 | 0.1429 |
| 101 | MO | Kansas City | 2 | 0.2857 |
| 102 | MO | Saint Louis | 4 | 0.5714 |
| 103 | NC | Charlotte | 1 | 0.0909 |
| 104 | NC | Durham | 1 | 0.0909 |
| 105 | NC | Huntersville | 1 | 0.0909 |
| 106 | NC | Raleigh | 5 | 0.4545 |
| 107 | NC | Youngsville | 1 | 0.0909 |
| 108 | NC | Randleman | 1 | 0.0909 |
| 109 | NC | Pineville | 1 | 0.0909 |
| 110 | NE | Omaha | 2 | 1.0000 |
| 111 | NH | Manchester | 2 | 1.0000 |
| 112 | NJ | Jersey City | 4 | 0.4444 |
| 113 | NJ | Princeton | 3 | 0.3333 |
| 114 | NJ | Trenton | 1 | 0.1111 |
| 115 | NJ | Hazlet | 1 | 0.1111 |
| 116 | NV | Las Vegas | 6 | 1.0000 |
| 117 | NY | Melville | 1 | 0.0200 |
| 118 | NY | Stony Brook | 1 | 0.0200 |
| 119 | NY | Port Washington | 1 | 0.0200 |
| 120 | NY | Rochester | 1 | 0.0200 |
| 121 | NY | Manhattan | 1 | 0.0200 |
| 122 | NY | East Setauket | 1 | 0.0200 |
| 123 | NY | New York City | 36 | 0.7200 |
| 124 | NY | Brooklyn | 1 | 0.0200 |
| 125 | NY | Elmira | 2 | 0.0400 |
| 126 | NY | White Plains | 5 | 0.1000 |
| 127 | OH | Toledo | 1 | 0.5000 |
| 128 | OH | Solon | 1 | 0.5000 |
| 129 | ON | Waterloo | 1 | 0.5000 |
| 130 | ON | Kitchener | 1 | 0.5000 |
| 131 | OR | Portland | 1 | 1.0000 |
| 132 | PA | Pittsburgh | 5 | 0.4167 |
| 133 | PA | Philadelphia | 4 | 0.3333 |
| 134 | PA | Malvern | 2 | 0.1667 |
| 135 | PA | Plymouth Meeting | 1 | 0.0833 |
| 136 | RI | Providence | 2 | 1.0000 |
| 137 | SC | Rock Hill | 1 | 0.2000 |
| 138 | SC | Charleston | 3 | 0.6000 |
| 139 | SC | Mount Pleasant | 1 | 0.2000 |
| 140 | TN | Johnson City | 1 | 0.2000 |
| 141 | TN | Nashville | 2 | 0.4000 |
| 142 | TN | Knoxville | 2 | 0.4000 |
| 143 | TX | Austin | 6 | 0.4000 |
| 144 | TX | Plano | 2 | 0.1333 |
| 145 | TX | Houston | 2 | 0.1333 |
| 146 | TX | Dallas | 2 | 0.1333 |
| 147 | TX | Arlington | 1 | 0.0667 |
| 148 | TX | Katy | 1 | 0.0667 |
| 149 | TX | Missouri City | 1 | 0.0667 |
| 150 | UT | Lindon | 1 | 1.0000 |
| 151 | VA | Reston | 7 | 0.3500 |
| 152 | VA | Arlington | 7 | 0.3500 |
| 153 | VA | Alexandria | 2 | 0.1000 |
| 154 | VA | Mclean | 2 | 0.1000 |
| 155 | VA | Timberlake | 1 | 0.0500 |
| 156 | VA | Chantilly | 1 | 0.0500 |
| 157 | WA | Bellevue | 1 | 0.0714 |
| 158 | WA | Yakima | 1 | 0.0714 |
| 159 | WA | Seattle | 10 | 0.7143 |
| 160 | WA | Tacoma | 2 | 0.1429 |
| 161 | WI | Berlin | 1 | 1.0000 |
(ggplot(search_cit_freqDF, aes(x = "States", y = 'Percent of Total', fill="Cities")) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 5),axis_text_x= element_text(rotation=80))+
labs(title = "City Proportions for Each State", x = "State", y = "City Allocation")
)
<ggplot: (7566853117)>
You will notice above that states with a greater number of cities represented given our listings is indicative of a wider range of options for relocation when thinking about your job search.
California, Colorado, Massachussetts, Maryland, and North Carolina have a large number of cities represented by our listings meaning a job seeker has options for the same job title but in different cities with a preferred state.
ds_city_grouper = data_scientist_df.groupby('Location')
ds_per_city = ds_city_grouper['Search'].value_counts()
ds_per_city = ds_per_city.reset_index(name = 'Frequency')
ds_per_city = ds_per_city.sort_values(by = 'Frequency',ascending = False).reset_index(drop = True)
ds_per_city
| Location | Search | Frequency | |
|---|---|---|---|
| 0 | New York City, NY | Data Scientist | 13 |
| 1 | San Francisco, CA | Data Scientist | 12 |
| 2 | Los Angeles, CA | Data Scientist | 4 |
| 3 | Sunnyvale, CA | Data Scientist | 3 |
| 4 | San Mateo, CA | Data Scientist | 3 |
| 5 | Berkeley, CA | Data Scientist | 2 |
| 6 | Cambridge, MA | Data Scientist | 2 |
| 7 | Nashville, TN | Data Scientist | 2 |
| 8 | San Jose, CA | Data Scientist | 2 |
| 9 | West Hollywood, CA | Data Scientist | 2 |
| 10 | Trenton, NJ | Data Scientist | 1 |
| 11 | Seattle, WA | Data Scientist | 1 |
| 12 | Santa Monica, CA | Data Scientist | 1 |
| 13 | Redwood City, CA | Data Scientist | 1 |
| 14 | Plymouth Meeting, PA | Data Scientist | 1 |
| 15 | Pittsburgh, PA | Data Scientist | 1 |
| 16 | Pineville, NC | Data Scientist | 1 |
| 17 | Philadelphia, PA | Data Scientist | 1 |
| 18 | Newton, MA | Data Scientist | 1 |
| 19 | Alexandria, VA | Data Scientist | 1 |
| 20 | Napa, CA | Data Scientist | 1 |
| 21 | Chicago, IL | Data Scientist | 1 |
| 22 | Bedford, MA | Data Scientist | 1 |
| 23 | Bellevue, WA | Data Scientist | 1 |
| 24 | Bethesda, MD | Data Scientist | 1 |
| 25 | Calgary, AB | Data Scientist | 1 |
| 26 | Campbell, CA | Data Scientist | 1 |
| 27 | Chantilly, VA | Data Scientist | 1 |
| 28 | Costa Mesa, CA | Data Scientist | 1 |
| 29 | Austin, TX | Data Scientist | 1 |
| 30 | Elmira, NY | Data Scientist | 1 |
| 31 | Foster City, CA | Data Scientist | 1 |
| 32 | Grinnell, IA | Data Scientist | 1 |
| 33 | Hazlet, NJ | Data Scientist | 1 |
| 34 | Knoxville, TN | Data Scientist | 1 |
| 35 | Leawood, KS | Data Scientist | 1 |
| 36 | Woodland Hills, CA | Data Scientist | 1 |
TOP_ds = ds_per_city[:10]
(ggplot(TOP_ds, aes(x = "Location", y = 'Frequency', fill='Location')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Data Scientist - Distribution of Frequency of Jobs For Top 10 Most Frequent Locations", x = "Location", y = "Frequency")
)
<ggplot: (7543421732)>
If you are seeking a data scientist position, your best option is to look in New York City - NY and San Francisco - CA.
de_city_grouper = data_engineer_df.groupby('Location')
de_per_city = de_city_grouper['Search'].value_counts()
de_per_city = de_per_city.reset_index(name = 'Frequency')
de_per_city = de_per_city.sort_values(by = 'Frequency',ascending = False).reset_index(drop = True)
de_per_city
| Location | Search | Frequency | |
|---|---|---|---|
| 0 | San Francisco, CA | Data Engineer | 34 |
| 1 | San Jose, CA | Data Engineer | 20 |
| 2 | New York City, NY | Data Engineer | 17 |
| 3 | San Mateo, CA | Data Engineer | 16 |
| 4 | Irvine, CA | Data Engineer | 13 |
| 5 | Los Angeles, CA | Data Engineer | 13 |
| 6 | Palo Alto, CA | Data Engineer | 8 |
| 7 | Seattle, WA | Data Engineer | 8 |
| 8 | Reston, VA | Data Engineer | 7 |
| 9 | Chicago, IL | Data Engineer | 7 |
| 10 | Arlington, VA | Data Engineer | 7 |
| 11 | Redwood City, CA | Data Engineer | 6 |
| 12 | Burlington, MA | Data Engineer | 6 |
| 13 | Mountain View, CA | Data Engineer | 5 |
| 14 | Santa Monica, CA | Data Engineer | 5 |
| 15 | Venice, CA | Data Engineer | 5 |
| 16 | Washington, DC | Data Engineer | 5 |
| 17 | Raleigh, NC | Data Engineer | 5 |
| 18 | Sunnyvale, CA | Data Engineer | 4 |
| 19 | San Diego, CA | Data Engineer | 4 |
| 20 | Cambridge, MA | Data Engineer | 4 |
| 21 | Detroit, MI | Data Engineer | 4 |
| 22 | Culver City, CA | Data Engineer | 3 |
| 23 | Pittsburgh, PA | Data Engineer | 3 |
| 24 | Glendale, CA | Data Engineer | 3 |
| 25 | Acton, MA | Data Engineer | 3 |
| 26 | Charleston, SC | Data Engineer | 3 |
| 27 | San Ramon, CA | Data Engineer | 3 |
| 28 | Atlanta, GA | Data Engineer | 3 |
| 29 | Austin, TX | Data Engineer | 3 |
| 30 | Saint Louis, MO | Data Engineer | 3 |
| 31 | Jersey City, NJ | Data Engineer | 3 |
| 32 | Boston, MA | Data Engineer | 3 |
| 33 | Philadelphia, PA | Data Engineer | 2 |
| 34 | Orlando, FL | Data Engineer | 2 |
| 35 | Santa Clara, CA | Data Engineer | 2 |
| 36 | Omaha, NE | Data Engineer | 2 |
| 37 | Northridge, CA | Data Engineer | 2 |
| 38 | Saint Paul, MN | Data Engineer | 2 |
| 39 | Plano, TX | Data Engineer | 2 |
| 40 | Menlo Park, CA | Data Engineer | 2 |
| 41 | Manchester, NH | Data Engineer | 2 |
| 42 | Albertville, AL | Data Engineer | 2 |
| 43 | Tacoma, WA | Data Engineer | 2 |
| 44 | Las Vegas, NV | Data Engineer | 2 |
| 45 | Wellesley, MA | Data Engineer | 2 |
| 46 | Norwalk, CA | Data Engineer | 2 |
| 47 | Malvern, PA | Data Engineer | 2 |
| 48 | Colorado Springs, CO | Data Engineer | 2 |
| 49 | Gardena, CA | Data Engineer | 2 |
| 50 | Berkeley, CA | Data Engineer | 2 |
| 51 | Bethesda, MD | Data Engineer | 2 |
| 52 | Fort Meade, MD | Data Engineer | 2 |
| 53 | Dallas, TX | Data Engineer | 2 |
| 54 | Canoga Park, CA | Data Engineer | 1 |
| 55 | Camp Springs, MD | Data Engineer | 1 |
| 56 | Roseville, CA | Data Engineer | 1 |
| 57 | San Carlos, CA | Data Engineer | 1 |
| 58 | Solon, OH | Data Engineer | 1 |
| 59 | Bowie, MD | Data Engineer | 1 |
| 60 | Boulder, CO | Data Engineer | 1 |
| 61 | Boca Raton, FL | Data Engineer | 1 |
| 62 | Rockville, MD | Data Engineer | 1 |
| 63 | Beverly Hills, CA | Data Engineer | 1 |
| 64 | Rochester, NY | Data Engineer | 1 |
| 65 | Santa Barbara, CA | Data Engineer | 1 |
| 66 | Carlsbad, CA | Data Engineer | 1 |
| 67 | Bedford, MA | Data Engineer | 1 |
| 68 | Baltimore, MD | Data Engineer | 1 |
| 69 | Huntersville, NC | Data Engineer | 1 |
| 70 | Charlotte, NC | Data Engineer | 1 |
| 71 | Arlington, TX | Data Engineer | 1 |
| 72 | Wixom, MI | Data Engineer | 1 |
| 73 | Westwood, CA | Data Engineer | 1 |
| 74 | West Hollywood, CA | Data Engineer | 1 |
| 75 | Alexandria, VA | Data Engineer | 1 |
| 76 | Waterloo, ON | Data Engineer | 1 |
| 77 | Aliso Viejo, CA | Data Engineer | 1 |
| 78 | Ventura County, CA | Data Engineer | 1 |
| 79 | Annapolis Junction, MD | Data Engineer | 1 |
| 80 | Van Nuys, CA | Data Engineer | 1 |
| 81 | Troy, MI | Data Engineer | 1 |
| 82 | Torrance, CA | Data Engineer | 1 |
| 83 | Toledo, OH | Data Engineer | 1 |
| 84 | Timberlake, VA | Data Engineer | 1 |
| 85 | Tampa, FL | Data Engineer | 1 |
| 86 | Anne Arundel County, MD | Data Engineer | 1 |
| 87 | Stony Brook, NY | Data Engineer | 1 |
| 88 | Providence, RI | Data Engineer | 1 |
| 89 | Redondo Beach, CA | Data Engineer | 1 |
| 90 | Huntsville, AL | Data Engineer | 1 |
| 91 | Mclean, VA | Data Engineer | 1 |
| 92 | Marina Del Rey, CA | Data Engineer | 1 |
| 93 | Manhattan, NY | Data Engineer | 1 |
| 94 | Fenton, MO | Data Engineer | 1 |
| 95 | Loveland, CO | Data Engineer | 1 |
| 96 | Fremont, CA | Data Engineer | 1 |
| 97 | Long Beach, CA | Data Engineer | 1 |
| 98 | Lindon, UT | Data Engineer | 1 |
| 99 | Lexington, KY | Data Engineer | 1 |
| 100 | Knoxville, TN | Data Engineer | 1 |
| 101 | Kitchener, ON | Data Engineer | 1 |
| 102 | Johnson City, TN | Data Engineer | 1 |
| 103 | Grinnell, IA | Data Engineer | 1 |
| 104 | Houston, TX | Data Engineer | 1 |
| 105 | Indianapolis, IN | Data Engineer | 1 |
| 106 | Melville, NY | Data Engineer | 1 |
| 107 | Fairfield, CT | Data Engineer | 1 |
| 108 | Milpitas, CA | Data Engineer | 1 |
| 109 | Denver, CO | Data Engineer | 1 |
| 110 | Portland, OR | Data Engineer | 1 |
| 111 | Plymouth, MN | Data Engineer | 1 |
| 112 | Concord, CA | Data Engineer | 1 |
| 113 | Costa Mesa, CA | Data Engineer | 1 |
| 114 | Cupertino, CA | Data Engineer | 1 |
| 115 | Pasadena, CA | Data Engineer | 1 |
| 116 | Dunwoody, GA | Data Engineer | 1 |
| 117 | Elmira, NY | Data Engineer | 1 |
| 118 | Durham, NC | Data Engineer | 1 |
| 119 | East Setauket, NY | Data Engineer | 1 |
| 120 | North Hollywood, CA | Data Engineer | 1 |
| 121 | Newton, MA | Data Engineer | 1 |
| 122 | Newport Beach, CA | Data Engineer | 1 |
| 123 | El Segundo, CA | Data Engineer | 1 |
| 124 | Youngsville, NC | Data Engineer | 1 |
TOP_de = de_per_city[:10]
(ggplot(TOP_de, aes(x = "Location", y = 'Frequency', fill='Location')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Data Engineer - Distribution of Frequency of Jobs For Top 10 Most Locations", x = "Location", y = "Frequency")
)
<ggplot: (7565478734)>
If you are seeking a data engineering position, your best option is to look in San Francisco - CA, San Jose - CA, San Mateo - CA, and New York City - NY.
da_city_grouper = data_analyst_df.groupby('Location')
da_per_city = da_city_grouper['Search'].value_counts()
da_per_city = da_per_city.reset_index(name = 'Frequency')
da_per_city = da_per_city.sort_values(by = 'Frequency',ascending = False).reset_index(drop = True)
da_per_city
| Location | Search | Frequency | |
|---|---|---|---|
| 0 | New York City, NY | Data Analyst | 4 |
| 1 | Las Vegas, NV | Data Analyst | 4 |
| 2 | Atlanta, GA | Data Analyst | 3 |
| 3 | Ventura, CA | Data Analyst | 3 |
| 4 | Princeton, NJ | Data Analyst | 3 |
| 5 | Laguna Niguel, CA | Data Analyst | 2 |
| 6 | Pleasanton, CA | Data Analyst | 2 |
| 7 | Woodland Hills, CA | Data Analyst | 2 |
| 8 | Orange, CA | Data Analyst | 2 |
| 9 | Cambridge, MA | Data Analyst | 2 |
| 10 | San Ramon, CA | Data Analyst | 2 |
| 11 | Venice, CA | Data Analyst | 1 |
| 12 | Scottsdale, AZ | Data Analyst | 1 |
| 13 | Washington, DC | Data Analyst | 1 |
| 14 | San Francisco, CA | Data Analyst | 1 |
| 15 | Rock Hill, SC | Data Analyst | 1 |
| 16 | Randleman, NC | Data Analyst | 1 |
| 17 | Providence, RI | Data Analyst | 1 |
| 18 | Palm Springs, CA | Data Analyst | 1 |
| 19 | Pittsburgh, PA | Data Analyst | 1 |
| 20 | Philadelphia, PA | Data Analyst | 1 |
| 21 | Newton, MA | Data Analyst | 1 |
| 22 | Mount Pleasant, SC | Data Analyst | 1 |
| 23 | Mclean, VA | Data Analyst | 1 |
| 24 | Los Angeles, CA | Data Analyst | 1 |
| 25 | Kansas City, MO | Data Analyst | 1 |
| 26 | Jersey City, NJ | Data Analyst | 1 |
| 27 | Indianapolis, IN | Data Analyst | 1 |
| 28 | El Segundo, CA | Data Analyst | 1 |
| 29 | Canoga Park, CA | Data Analyst | 1 |
| 30 | Yakima, WA | Data Analyst | 1 |
TOP_da = da_per_city[:10]
(ggplot(TOP_da, aes(x = "Location", y = 'Frequency', fill='Location')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Data Analyst - Distribution of Frequency of Jobs For Top 10 Most Locations", x = "Location", y = "Frequency")
)
<ggplot: (7565324720)>
If you are seeking a data analyst position, your best option is to look in Las Vegas - NV, New York City - NY, Atlanta - GA, Princeton - NJ, and Ventura - CA.
bi_city_grouper = BI_df.groupby('Location')
bi_per_city = bi_city_grouper['Search'].value_counts()
bi_per_city = bi_per_city.reset_index(name = 'Frequency')
bi_per_city = bi_per_city.sort_values(by = 'Frequency',ascending = False).reset_index(drop = True)
bi_per_city
| Location | Search | Frequency | |
|---|---|---|---|
| 0 | Irvine, CA | Business Intelligence | 7 |
| 1 | White Plains, NY | Business Intelligence | 5 |
| 2 | South Bend, IN | Business Intelligence | 3 |
| 3 | San Mateo, CA | Business Intelligence | 3 |
| 4 | Palo Alto, CA | Business Intelligence | 3 |
| 5 | San Francisco, CA | Business Intelligence | 2 |
| 6 | Milpitas, CA | Business Intelligence | 2 |
| 7 | San Diego, CA | Business Intelligence | 2 |
| 8 | New York City, NY | Business Intelligence | 2 |
| 9 | Austin, TX | Business Intelligence | 2 |
| 10 | Redwood City, CA | Business Intelligence | 1 |
| 11 | Torrington, CT | Business Intelligence | 1 |
| 12 | Seattle, WA | Business Intelligence | 1 |
| 13 | Santa Monica, CA | Business Intelligence | 1 |
| 14 | Santa Ana, CA | Business Intelligence | 1 |
| 15 | Saint Louis, MO | Business Intelligence | 1 |
| 16 | Atlanta, GA | Business Intelligence | 1 |
| 17 | Portland, ME | Business Intelligence | 1 |
| 18 | Port Washington, NY | Business Intelligence | 1 |
| 19 | Missouri City, TX | Business Intelligence | 1 |
| 20 | Katy, TX | Business Intelligence | 1 |
| 21 | Kansas City, MO | Business Intelligence | 1 |
| 22 | Houston, TX | Business Intelligence | 1 |
| 23 | Daphne, AL | Business Intelligence | 1 |
| 24 | Costa Mesa, CA | Business Intelligence | 1 |
| 25 | Brooklyn, NY | Business Intelligence | 1 |
| 26 | Berlin, WI | Business Intelligence | 1 |
| 27 | Peoria, IL | Business Intelligence | 1 |
TOP_bi = bi_per_city[:10]
(ggplot(TOP_bi, aes(x = "Location", y = 'Frequency', fill='Location')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Business Intelligence - Distribution of Frequency of Jobs For Top 10 Most Locations", x = "Location", y = "Frequency")
)
<ggplot: (7543659496)>
If you are seeking a business intelligence position, your best option is to look in Irvine - CA and White Plains - NY.
stop_words = stopwords.words("english") + ['data',
'analysis',
'development',
'design',
'modeling',
'systems',
'analytics',
'test',
'management',
'security',
'server',
'system',
'engineering',
'model',
'experience',
'data',
'structures',
'science',
'software',
'algorithms',
'testing',
'business']
skills_df = master_data.copy()
for i in range(len(skills_df)):
skills_df.loc[i, 'Skills'] = skills_df['Skills'][i].replace("Machine Learning",'Machine-Learning')
skills_df.loc[i, 'Skills'] = skills_df['Skills'][i].replace("Big Data",'Big-Data')
skills_df.loc[i, 'Skills'] = skills_df['Skills'][i].replace("Tekla Structures",'Tekla-Structures')
skills_set = set(skills_df['Skills'])
skills_set
{'.NET, C#, SQL, Agile Software Development, ASP.NET, NoSQL, AngularJS',
'.NET, C#, SQL, Team Foundation Server (TFS), Agile Software Development',
'.NET, C#, Windows, Big-Data, SQL Server',
'.NET, Visual Studio, C#, SQL, MVC',
'AI, Marketing, Strategic Partnerships, Business Development, Artificial Intelligence, Machine-Learning',
'API Development, Large Data Sets, C#, Java, Python, AWS, REACT, Node.js, Agile Methodologies, elastic search',
'ASIC/SoC, Verification Flows, Verification process, SV/UVM environments, SoC architecture/design, CPU, Data center protocols, Ethernet, Startup Experience',
"ASP.NET MVC, C#, JavaScript, WCF, RESTful API's",
'ASP.NET MVC, C#/.NET, SQL Server, Developing Custom Internal Business Applications',
'ASP.NET, MVC, C#, JQuery, SQL, Entity Framework',
'AWS, Big-Data, Python, Production Level Coding',
'Ability to be client facing, Mathematics, Can interpret data, Excel',
'Account Executive, Sales, SaaS, Business Intelligence, B2B Sales',
'Air Quality Assessment, Environmental Engineering, Emissions Reporting, Emissions Inventories, Data Analysis, Title V, Reclaim, Project Management, Database Management, MS Office',
'Algorithm Development, Machine-Learning, Computer Vision, Image Processing, 3D Modeling, Object Detection, 3D CT Data, Prototyping, Signal Processing, Python C++',
'Algorithm Development, Machine-Learning, Image Processing, 3D Modeling, Object Detection, 3D CT Data, Prototyping, Signal Processing, Matlab, Python C++',
'Algorithm Development, Machine-Learning, Image Processing, matLab Pyton C/C++, 3D Modeling, Image Processing and analysis, Object Detection, 3D CT Data, Prototyping, Signal Processing',
'Analytics, Data Analysis, Business Intelligence, SQL',
'Android, Data Structures, Algorithm Design, Java',
'Angular, Microsoft WebAPI/C#, OSIsoft, AF SDK, AF Templates, Data References, Analysis, Agile, TFS, TFVC',
'Angular, TypeScript, Cordova, Agile, Kanban, Test Driven Development, Continuous Delivery, .NET, Data Science',
'Angular, TypeScript, JavaScript, HTML, CSS',
'Application Support, Business Analysis, Systems Analysis, SQL, Healthcare Industry, .NET, XML, Technical Support, Data Analysis, Client Interaction',
'Applied Research, Hadoop/MapReduce/Spark, Programming (R/Scala/Python/Ruby), Java Or C++, Data Mining, Machine-Learning, Information Retrieval',
'ArcSight, Network/Host/Data/Application Security, IP Networking, Networking Protocols, security related technologies, Internet/Web/Application/Network Security, Windows/Solaris/Linux, Firewall/Network Scanning/Intrusion Detection, Federal Regulations/Information Security, NIST Special Publications/C&A Process Methodology',
'Azure SQL, PowerBI, Warehouse design',
'BI Reporting, Data Integration, ETL, data documentation deliverables, Analytics, Data Delivery, SQL, Data Warehousing',
'Big-Data, ADTECH, Hadoop, Scala, SPARK',
'Big-Data, AWS, MongoDB, SQL',
'Big-Data, Architecture, Hadoop',
'Big-Data, Big O Notation, Scala, Hadoop, Data Mining, Kafka, GIT, Unix, Akka Streams, Maven',
'Big-Data, Data Ingestion, Data Transformation',
'Big-Data, Machine-Learning, Artificial Intelligence, Scala, Java, Python, AWS',
'Big-Data, Python, AWS',
'Big-Data, Scala, Hadoop, Data Mining, Kafka, GIT, Unix, Akka Streams, Maven',
'Big-Data, TS/SCI, CI polygraph, Hadoop',
'Big-Data/HPC Programming, Java, C/C++/C++11, SQL, Scala, Machine/deep learning algorithms, HDFS/Spark/Cassandra/TensorFlow, Product Engineering, MySQL, Linux Kernel',
'Black Box, Automated Testing, Sanity Testing, Boundary, Negative, Compatibility, Concurrency, Test Data Sets, quantitative reports',
'Blockchain, Cryptography, AI, Java/Python/Golang/JS/Ruby, Tensor Flow, Data Science',
'Blockchain, Ethereum, Python, C++, Blockchain test tools (Truffle), Blockchain management tools, Continuous Integration, DevOps environment, Node.js, JavaScript',
'Business Analysis, 4 year degree, Experience rel. to Internal Policies & Procedures, training experience',
'Business Analyst, Business Analysis, SQL, Data Analysis, Agile, Excel',
'Business Analytics, Python, SQL, Data Analysis, Excel, Site Catalyst',
'Business Intelligence, Data Warehousing, AWS, Azure, Analytics, Amazon RedShift, Oracle, Business Objects, Tableau, PowerBI',
'Business Intelligence, MS SQL Server, Ssrs, Ssis, ETL, Business Analysis, Dashboards, Reports, Tableau',
'Business Intelligence, Relational Databases, SQL Queries, Power BI, Ssrs, T-SQL',
'Business Process Standardization, 4 year degree, Training',
'C#, .NET, CLR, Windows',
'C#, .NET, Microsoft Visual Studio, Object-oriented Programming, WPF, MVVM, OPC - OPC Data Manager, UML, Multi-Threading',
'C#, ASP.NET, JavaScript, T-SQL, JQuery, Data Modeling, Unity, Docker, RESTful, IIS',
'C#, SQL, ASP.NET, ERP System Development, Visual Studio, JavaScript, Data Modeling, Manufacturing experience, Logistics Experience',
'C#/.NET, SQL Server, Some CRM Development/Customization',
'C++, Data Storage, Network File System, Storage Programming, REST Architecture, Network Programming',
'C++, EDA, STL, Power Analysis Tools, Signal Integrity, extraction, OOD, EDA Algorithms, Data Structures, Phyiscal Verification',
'C++, Linux - RedHat, Embedded Software Development, Commercial Products Development, Multithreaded and Object Oriented Design, DNP3 a plus, MySQL - Oracle - or other database, Networking experience with TCP/IP, Data analytics in a large big-data framework, Hadoop clusters is a plus',
'C++, Linux Platform, Search Algorithms, Information Retrieval, Data Analytics, C++ 11, Python Scripting',
'C++, Machine-Learning, Data Mining',
'C++, Medical Devices, Startup Experience, Data Visualization, state machine',
'C++, Python, JavaScript, TDD / BDD, Large-Scale big data applications, Financial Services / Capital Markets, Unix Command Line, Data Structures, Full-Stack Development',
'C++, search engine technologies, Search Algorithms, Information Retrieval, Data Analytics, C++ 11, Linux Platform, Python Scripting, Distributed Algorithms - GPU and Deep Learning, Distributed Systems',
'C, C++, Java, TS/SCI CI Poly, Python, RUBY, Perl, Big-Data analytics, Amazon Web Services, TCP/IP',
'CAD development, C/C++, Windows, Parasolid, advanced data structures',
'CCIE, Cisco R/S, Cisco Data Center, Cisco Security, Cisco ISE, Sourcefire, Pre Sales',
'CCIE, Pre Sales, Cisco Data Center, Enterprise Networking, Cisco UC / Collaboration, Cisco Security',
'Cisco R/S, Cisco Data Center Solutions, UCS, Nexus, CCIE, CCNP, VCP, Post Sales',
'Cisco R/S, Cisco Security, Cisco Voice, Cisco Data Center, Pre Sales, Cisco UCS, CCNP, CCDP',
'Computer Vision, Hands-on leadership, Python, Tensorflow, R, Machine-Learning, Deep Learning, OpenCV/PCL, Revit, 2d/3D Spatiotemporal Data',
'Core Java, Big-Data, Web programming, cloud platforms, Relational Databases, CI Tools',
'Cost Management, Large Capital Projects, Project control fundamentals, Financial/schedule analysis, Budgeting methodologies, Advanced data manipulation in Excel, Change Management OR Project Management',
'Cost Management, Planning, Scheduling, Large Capital Projects, Project control fundamentals, Financial/schedule analysis, Budgeting methodologies, Advanced data manipulation in Excel, Primavera OR MS Project',
'Create test plans/cases, QA in an e-Commerce environment, Perform end to end testing, Write basic SQL queries for data driven tests, Selenium WebDriver Automation, Manuel testing to find bugs and report, Work with automation to learn automation framework, Review results from automated testing team, Use test tracking software, Write QA automation tests',
'Credit Risk Modeling/Response models, Multivariate Analysis, Machine-Learning, R, Python, Data Mining, Hadoop',
'Customer Success Experience, Customer Renewals, Business Intelligence, Enterprise Software, SaaS',
'Data Analysis, Business Intelligence, E-Commerce, Data Management, ETL processes',
'Data Analysis, Data visualization/Dashboards, Tableau, Data Standardization/Cleansing, People Management, R programming, SQL, ETL, KPI Reporting/Analysis, Excel',
'Data Analysis, Data visualization/Dashboards, Tableau, Data Standardization/Cleansing, R programming, SQL, ETL, KPI Reporting/Analysis, Excel, People Management',
'Data Analysis, Lifestyle Polygraph, Systems Engineering, Intelligence, Full Scope',
'Data Analysis, SQL, E-Commerce, Retail analytics, Google Analytics, Tableau, SalesForce',
'Data Analytics Platforms, Machine-Learning, Machine vision, Python, Java, C++',
'Data Center Solutions, NetApp, VMWare, Cisco, Virtualization, Post Sales, Implementations',
'Data Center Solutions, NetApp, VMWare, NCDA, NCIE, Cisco, Virtualization, Post Sales',
'Data Engineering, Data Visualization, Hadoop, Kinesis, Kafka, SPARK, Flink, Java, RUBY, Python',
'Data Interpretation, Writing Algorithms, LabView, Python, C++, Matlab, RF Test, Microwave, Communication Interfaces, Antenna',
'Data Mining, SAS, Tableau, R, Python, SQL, Data Visualization',
'Data Mining, data sets, Statistical Modeling, Python & R & SQL, Machine-Learning Algorithms, Web Services, Hadoop',
'Data Pipeline, Python, Machine-Learning',
'Data Pipelines, Datat Structures, AWS/Cloud Infrastructure, Platform Infrastructure, Big-Data-Hadoop/kafka/storm/spark/zookeeper/hbase',
'Data Pipelines, Java, Kafka',
'Data Science Experience, numpy, Machine-Learning',
'Data Science or Engineering, Python, R, Machine-Learning, Data Mining, Hadoop, SQL, Java, SPARK, Scala',
'Data Science, Applied Research, Hadoop/MapReduce/Spark, Programming (R/Scala/Python/Ruby), Java Or C++, Data Mining, Machine-Learning, Information Retrieval',
'Data Science, Artificial Intelligence, Statistical Analysis, Data Modeling, Machine-Learning, Algorithms',
'Data Science, Big-Data, Machine-Learning, Artificial Intelligence, Scala, Java, Python',
'Data Science, Machine-Learning, Internet of things, Smart Manufacturing, Industrial Internet of Things, SQL Databases, Cloud Computing, Programming (C/C++ - C# - Python - Java), Manufacturing',
'Data Science, Machine-Learning, Natural Language Processing, Big-Data, Python',
'Data Science, Machine-Learning, Natural Language Processing, Python, Text Analysis, Recommendation Systems, Hadoop, SPARK, Distributed Computing, Information Retrieval',
'Data Science, Machine-Learning, Python, scalability of code & product & modeling, closed-looped analytics, AI product expertise',
'Data Science, Machine-Learning, R, Python, SQL, SQL Server, E-Commerce',
'Data Science, Machine-Learning, Simulation, Python, numpy',
'Data Science, Python, scikit.learn, Bayesian Inference, Machine-Learning Algorithms',
'Data Science, Python, scikit.learn, Virtual Environments, Bayesian Inference, Machine-Learning Algorithms, Prior teaching experience (not essential)',
'Data Science, Python, scikit.learn, Virtual Environments, Bayesian Inference, Machine-Learning Algorithms, teaching experience',
'Data Security Administration, CSSP, CEH, GCIH, SCYBER, GCIA, GCFA, DCO, AFSCN, MILSATCOM',
'Data Storage, Ruby On Rails, REACT, Python, JavaScript, API Development',
'Data Structures, Algorithms, Systems Behavior, log files, Infrastructure, DTrace/ Btrace/AspectJ, Splunk/ELK, OpenTSDB',
'Data Structures, Machine-Learning Algorithms, Cloud Computing, Scripting languages, Python, ATHENA, MySQL, Hadoop, Looker, Build Systems',
'Data Structures, Object-oriented Programming, JavaScript, REST/JSON, Design Patterns, UI/UX Collaboration',
'Data Structures/Algorithms/Systems, Interconnected Systems, Configuration, Datacenter Infrastructure, Configuration Management Systems, Chef/Puppet/BMC Remedy/Ansible/Docker',
'Data delivery and streaming systems (Kafka/Storm), Java, Scala, Data Pipelines',
'Debian, Linux, Java, Python, MySQL, Shell Scripting, HTTP/S, SMTP, SSL, Nagios',
'Deep Learning, Machine-Learning, Natural Language Processing, NLP, Tensorflow, PyTorch',
'Delivery, Retail, E-Commerce, client-facing, Data Analysis, Business Intelligence, Data Management, ETL processes',
'Develop high quality code using APEX, Java, Design/develop solutions on the salesforce.com, Visualforce and Apex, Marketing and sales cloud, Apex classes/triggers and Visualforce pages, SFDC Platform I & II certification, NodeJS, Lightning and Zuora, Salesforce data tools -Data Loader/Excel/Connector',
'Developing Automated Integration/Unit Tests, Test Cases, Python, Linux, Systems Level, Automation Testing, Cloud environments, Big-Data Environments, Cloud Automation',
'Developing Hybris eCommerce sites, Hybris Accelerators & core platform, APIs & tools-i.e. HAC/HMC & the Hybris Cockpits, Spring Core & MVC, Java with JEE, RDBMS such as Oracle or MySQL, Real time data exchange via REST or SOAP-based web, Asynchronous file exchange, Test Driven Development and JUnit, Hybris suite/stack and its APIs',
'Devops, Continuous Automation, Continuous deployment, Linux System Administration, Amazon Web Services (AWS), Network Administration, Configuration management (Chef/Ansible/Puppet/etc), Jenkins, Bash, Python',
'Docker, AWS, cl/cd, Jenkins, GIT, Big-Data',
'ETL, AWS, Informatica, DB2, Postgres, Kimball, Linux, Data Warehousing, Agile, Data Modeling',
'ETL, Business Intelligence, SQL Server',
'ETL, RDBMS, Tableau, SQL, API, NoSQL, MongoDB, DTS, Business Intelligence',
'ETL, SQL, Big-Data',
'ETL, SQL, C#, .NET, BI, T-SQL, Ssis, Ssrs, GIT, TFS',
'ETL, SQL, Database Development, Database Design, SDLC',
'ElasticSearch, Cassandra, Hadoop, AWS, EC2, S3, Chef, Ansible, Python, RUBY',
'Electrical Design, Data Center, Construction, Building Design, Mission Critical Design, AutoCAD, MS Project, Electrical Infrastructure, Professional Engineering License',
'Embedded Product Development, Linux, M2M Technology, IOT, C/C++ Prorgramming, Network Protocols, Communication Systems, Algorithms and Data Structures, JavaScript/HTML/CSS/Bash',
'Embedded, AI, IOT, AWS, Node.js, Network Security, Algorithms, Full Stack Development',
'Excel, Oracle, SQL, Metadata, Reference Data Management, Master Data Management',
'Excel, Power BI, Tableau, .NET, Java, Pre-Sales, AWS, C#, .NET, ASP.NET',
'Extrusion, Polymer, Medical Device, Data Mining, Continuous Improvement, Equipment, Prototype, supervision, Expansion, new technology',
'FPGA, RTL, UVM, data storage: Internal FPGA RAM, SRAM, DDR, DDR2-3',
'Financial Analysis, Excel, Financial Modeling, Forecasting, Financial Analyst, Google Analytics, SQL, MS Query',
'Financial Analysis, Excel, Financial Modeling, Forecasting, Financial Analyst, Google Analytics, SQL, MS Query, GAAP, Budgeting',
'Financial Analysis, Financial Modeling, Budgeting / Forecasting, Business Intelligence Analysis, Budget vs. Actual Analysis, Analyze Cost, Financial Presentations, Financial Services Industry',
'Financial Analysis, Manufacturing (high-volume durable goods), Oracle ERP (preferred), Data analytics and forecasting',
'Financial Systems, General Ledger, User Security, Accounts Payable, Infor-11, Reporting, Test plans/scripts, SQL and Relational Database Concepts, C#/JavaScript, HRIS Payroll Data',
'Frontend development, Vue/Angular/React, HTML5, CSS3, JavaScript, UX/UI, Data Visualization, Responsive Design, API Development, Mobile/Web',
'Full Stack, Cassandra, ElasticSearch, Solr, Data Scientist, Python, Machine-Learning, R, Data Mining, SQL',
'Go / Golang, Machine-Learning, Software Engineering',
'Go, IOT, Big-Data, Video, Protobuf, Python, Multithreaded Applications, TCP/IP, Concurrency Management',
'Go, Python, Java, C#, C++, Scala, Kotlin',
'HMI, PLC, AutoCAD, Robotics, Machine Control Systems, Motion Control Systems, Data acquisition systems, Allen Bradley, Omron, Servo systems',
'Hadoop, Hive, Mapreduce, yarn, Kafka, Pig, Oozie, hBase',
'Hadoop, Hive, Spark and Presto, Apache Solr and/or Apache Lucene',
'Hadoop, Java, Linux, Bash/Perl scripting, Apache, Kafka, SPARK, Mapreduce, AWS, Scala',
'Hadoop, Mapreduce, Java, Python',
'Hadoop, Mapreduce, SPARK, ElasticSearch, Java, Scala, Python',
'Hadoop, Pipeline Infrastructure, Pig, Hive, SPARK, Mapreduce, Kafka, Kinesis, Storm, Vertica',
'Hadoop, SQL, SPARK, Kafka',
'Hadoop, Scala, SPARK, Java, NODE, REACT, Big-Data',
'Hadoop/Spark/Hive, Quantitative Analysis, Python/R, SQL, Big-Data Systems (Hadoop/Hive/Spark/)',
'Healthcare, Financial Analyst, Medical Billing, Data Analysis, Microsoft Access, SQL Scripting, Crystal Reports, Managed Care',
'Healthcare/ Defense/Telecommunications Industry, Data Modeling, Data Warehousing, ETL, SPARK, SQL or NoSQL, Spark/ Scala/ Hadoop/ Storm',
'ISO 13485, Supplier Audits, PPAP, Mechanical or Industrial Engineering degree, Process Validation, Process Capability Analysis, Root Cause Analysis, Statistical/Data Analysis Skills',
'ISO 9001, ISO 13485, Quality Leadership / Management, QMS, Quality Assurance, Manufacturing, Six Sigma, Internal Auditing, Data Analysis',
'Informatica, SQL, ETL Development, Teradata, Data Modeling, Data Warehousing',
'Information Management, Data Analysis, Business Intelligence, SQL, Integration tools, Data Modeling, CASE tools, OLAP',
'Information Security, CISSP or CISA or CCNP or CEH, HIPAA, ISO 900, NIST, HITRUST, SOX, NAC, Data Encryption, data loss prevention',
'Insurance Industry, Data Science, Text Analytics, Statistical Modeling in Business settings, Ridge/Lasso/Elastic Nets, SAS/R/H2O/Python/Spark/SQL/Hadoop, Git/Gitlab, Data visualization: Shiny/Spotfire/Tableau, Tree models: Random Forest/GBM, linear/logistic regression',
'Insurance, Claims, Bodily Injury, Litigation, Coverage, damages, Estimates',
'J2EE, Java, SQL, JDBC, Microservices, RESTful, Hibernate',
'JD Edwards Enterprise One 9.1, OneView, ASP.NET, C#, bi publisher, CafeOne, PowerForms, transactional SQL proces',
'JD Edwards Enterprise One, Sales and Distribution, One View, bi publisher, SQL, CNC, EDI',
'Java, AWS, ETL, GIS, GIT, data-driven development, Rest, Go, Linux',
'Java, AWS, SPARK, Python, Hadoop, EMR, Scala',
'Java, C++, C#, Data Structures, Algorithms',
'Java, C++, Python, JSON, MongoDB, MySQL, Cassandra',
'Java, Customer Facing, Professional Services, Client Facing Development, Distributed Systems, Cloud/AWS/EC2/EMR/Redshift/Azure, SQL',
'Java, Data Structures, Algorithm Development, System Design/Development, Linux Or Unix, OOD, Agile Program Management',
'Java, Data persistence layers, Video mobile and social network applications, Android Development, Android SDK, Published Android Applications, Android Application Architecture, Android libraries, Android automated testing frameworks, Clean coding standards',
'Java, Go, C++, Zookeeper, Dropwizard, Kafka, Cassandra',
'Java, Go, Zookeeper, Dropwizard, Kafka, Cassandra, RUBY',
'Java, Golang, Go, AWS, Big-Data',
'Java, Hadoop, Cloudera, MarkLogic',
'Java, Hadoop, Python, NoSQL, AWS, Machine-Learning',
'Java, J2EE, Apache Storm, Kafka, ElasticSearch, kibana, hBase, Graph DBs, Data Modeling, Business Intelligence',
'Java, J2EE, Machine-Learning, Big-Data, R, Python, LAMP, Database Infrastructure, Data Architecture',
'Java, J2EE/Spring/Hibernate, Multi-Threaded Development, Data Mining, Prolog',
"Java, J2EE/Spring/Hibernate, SQL, RESTful API's, data mining software",
'Java, JEE, JBoss, WildFly, Data Structures, Algorithms, REST API, JAX, Unix/Linux, PostgreSQL',
'Java, JUnit, JMeter, Big-Data Experience (Hadoop/MongoDB/Cassandra), Cloud Data Technologies- AWS, SQL, Distributed Systems, Large Scale Distributed Application Development, SOLR or Lucene or ElasticSearch',
'Java, JavaScript, Python, Expert HTML5 and CSS3, SQL, API',
'Java, JavaScript, Spring, Angular/React, Big-Data',
'Java, Node.js, Python, RESTful APIs, Big-Data, Data Mining, Cloud Computing, JavaScript',
'Java, Object Oriented, Data Structures, Algorithm Development, System Design/Development, Leading code reviews',
'Java, Python, Go, Test Frameworks (home grown), OSS frameworks',
'Java, Python, SQL Relational Database, Hadoop / Pig / Hive / HBase, Scala',
'Java, SQL, JavaScript, AWS, Hadoop/Big-Data',
'Java, SQL, React.JS, JavaScript, AWS',
'Java, SaaS, JavaScript, HTML/CSS, Spring, Boot, SQL Server, Server-Side Testing',
'Java, Scala, NoSQL, Rest',
'Java, Scala, SPARK, Hadoop, Distributed Systems, Python',
'Java, Software Development, Spring, Hibernate, Big-Data',
'Java, Spring Boot, Hibernate, AWS, Cloud, Unit Testing',
'Java, Spring, Big-Data',
'Java, Spring, SOA, Bootstrap',
'Java, Spring, Sacalability, High Availability, Multithreading, Enterprise Class Environments, Data Processing, Big-Data, Cloud Computing (AWS), Continuous Delivery',
'Java, Spring, TDD, SPARK, Data conversions, Avro, Parquet, Orc, Hadoop',
'Java, UI Development, YUI, / JSF / Java Server Faces GWT / DOJO, Spring / Hibernate, Pulling / Retrieving / Exposing Data & APIs, SQL scripts, Computer Science Fundamentals, Object Oriented Programming best practices, Algorithms / Data Structures',
'Java, Web Services, SOAP, Rest, Data Analysis, Data Modeling, design concepts',
'Java/J2EE Development, Linux/UNIX, Multi-tier web applications, Web Services/SOA/XSD',
'JavaScript, Angular, REACT, Script and Styling Language Expertise, Web Services Expertise, Front-end E-commerce Experience, Linux, MySQL, Data Analytics Expertise, Unit/Integration Testing Expertise',
'JavaScript, ES6 syntax, Responsive HTML5 web-applications, UI/UX, MVC Framework, CSS, Database management and SQL, Node.js, SAP HANA platform and data modeler, SAPUI5 or openUI5 library',
'JavaScript, PHP, Laravel, AWS, Angular/React/Marionette, Cassandra/MongoDB',
'JavaScript, REACT, CSS3, HTML5, Hadoop, Scala, SPARK, Java, NODE, Big-Data',
'JavaScript, React.JS, Golang, Open Source, Data Visualization, TDD, API, GIT, D3, Jasmine',
'JavaScript, SaaS, Bootstrap, React or Angular, Data Visualization, HTML5 / CSS, ASP.NET, SQL Server',
'JavaScript, TypeScript, Node.js, Python, Object-oriented Programming, Functional paradigms, data structure, Algorithm, Multi-Threading, Socket',
'JavaScript, User Interface Design / Development, SaaS, Responsive Web Development, Bootstrap, Visual Studio, HTML5, CSS3, d3.js, JIRA',
'JavaScript, XHTML, CSS, AJAX, Agile Development Methodologies',
'JavaScript/HTML5/CSS3, Java, AngularJS, T-SQL, J2EE, Big-Data',
'Kafka, Data, Kafka implementation, Confluent Kafka, Java, SPARK, Scala, Hadoop',
'Kimball, iSeries, SQL, T-SQL, SISS, Ssrs, Tableau, Datazen, MySQL, Oracle',
'LIMS, Java/Spring, Network Data Transfers, Microservices, Linux, Lab Info Management System',
'LabView, TestStand, Zigbee, WiFi, cellular, Ethernet protocols, USB, C/C++, Python',
'LabView, Visual Basic, C++, C#, SQL, Comm Interfaces (USB/GPIB/Ethernet/RS232), Simulation, System Integration, Motion Control, data acquisition',
'Large Data Sets, statistical and predictive modeling, Machine-Learning',
'Linux, AWS, Java',
'MS SQL, T-SQL, Ssrs, .NET Framework, C#, MVC, JavaScript/JQuery/HTML/CSS',
'MY SQL, MongoDB, Data Warehouse Architecture, Database Architect, NoSQL, Python, ETL, HDF, Financial Services, Data Storage',
'Machine-Learning (INDUSTRY only not school), Production Quality Code, Data Science, Mentoring others, NLP (NOT essential nice to have), AI (NOT essential nice to have)',
'Machine-Learning, Artificial Intelligence, Scala, Java, Python, AWS, Cassandra',
'Machine-Learning, Big-Data analytics, Java, Python, NLP',
'Machine-Learning, Big-Data, Tensorflow, Speech Rec, AWS',
'Machine-Learning, Customer Facing, SPARK, Predictive Modeling, Industrial IoT Analytics, Java/ Scala, Natural Language Processing (NLP), Deep Learning',
'Machine-Learning, Data Science, Natural Language Processing, Python, Java, Scala, Solr, SPARK, Hadoop',
'Machine-Learning, Data Science, Natural Language Processing, SPARK, Hadoop, Python, Java, Scala, Text Mining',
'Machine-Learning, Deep Learning, Data Science, neural networks, Tensorflow, Reinforcement Learning, CNN, RNN',
'Machine-Learning, Deep Learning, Java',
'Machine-Learning, Deep Learning, Python C++ OR Java, Cyber Security, networking technologies, Big-Data, Data Science, Audio/Noise/Digital Signal, Ability to attain SECRET security clearance, Full Scope Poly',
'Machine-Learning, Hadoop, Data Mining, R, Python',
'Machine-Learning, Information Retrieval, Data Science, Big-Data Mining, Natural Language Processing (NLP), Text Mining',
'Machine-Learning, ML Algorithms, Python, SQL, scale, SPARK, Hadoop, Applied statistics, Data Processing, Data Analysis',
'Machine-Learning, NLP, Deep Learning, AI, Big-Data, Predictive Analytics, Python, R',
'Machine-Learning, Natural Language Processing, Spark/Hadoop, Data Science, Data Engineer',
'Machine-Learning, Predictive Analytics, Big-Data',
'Machine-Learning, Python, Applied Mathematics',
'Machine-Learning, Python, NLP Frameworks',
'Machine-Learning, Python, R',
'Machine-Learning, Python, R, Data Mining, Data Analytics',
'Machine-Learning, Python, R, SQL, Data Mining, Hadoop, Statistical Analysis',
'Machine-Learning, Python, Scala, or Java, Hadoop, Big-Data, R/Matlab, C++',
'Machine-Learning, Python, Tableau, Hadoop, R, Large Data Set Organization & Analytics, Statistical Modeling, Algorithmic development, Data Visualizations & Reporting, Automation',
'Machine-Learning, Python, pandas, numpy, Scipy, sklearn, Medical Informatics, Apache Spark',
'Machine-Learning, SPARK, Scala, C++, Python, SQL, MPP, AWS',
'Machine-Learning, Scala, Search Intent Optimization',
'Machine-Learning, Tensorflow, Statistical/Machine-Learning Algorithms',
'Magento, Magento 2, PHP, JavaScript, XML, JSON, SQL, OOP PHP, HTML, CSS',
'Managing Accountants, Advanced Excel Skills, Real Estate Accounting, Property Management Accounting, Accounting Principles, General Ledger, Business Intelligence, GAAP, Advanced SQL skills, Data Analysis',
'Master Data Management, PostgreSQL, SQL programming, Scripting Languages (Python/Ruby/Perl), Linux, AWS, ElasticSearch',
'Matlab, SimuLink, LabView, Python, Automotive Diagnostics/Repair Experience, Data Processing, Raptor-Dev Tool Kit, Fuel Cell, Automotive, Model-based software',
'Microsoft Dynamics 365, Microsoft TFS, Dynamics AX Implementations, full lifecycle implementation, Dynamics AX Certification, Data Modeling, Visual Studio',
'Microsoft Excel, PowerPoint, Data Management, Reconciliations, collection process, Revenue Reporting, commission recording',
'Mixed-Signal ASIC Development, Analog Development, Analog Front end Development, Data Converters A/D and D/A Blocks, bias blocks, precision oscillators, Silicon Design, Cadence tools, Biometric Algorithms',
'Mobile Equipment Low Voltage Systems (12/24 volt), Creating Bill of Materials (BOMs)/SAP Data, High Voltage Applications, Class B Drivers License (PLUS), Electrical Schematics and harness drawings, AutoCAD Electrical 2015 software, 3D CAD Modeling, SolidEdge (PLUS), Cross-Functional Team Environment',
'Modern/Idiomatic Web Dev - Python and JavaScript, Flask or Django, React/HTML/CSS, Relational Databases, Web Application Security/Data Protection, RESTful APIs, Git/Grunt/Gulp/Webpack/CI/CD, Google Cloud/AWS, Cybersecurity/Newtorking',
'Modern/Idiomatic Web Dev - Python, Flask or Django, Relational Databases, Web Application Security/Data Protection, RESTful APIs, Git/Grunt/Gulp/Webpack/CI/CD, Google Cloud/AWS, Cybersecurity/Newtorking, Machine-Learning - Bonus',
'Network Operations Center Engineering, Juniper Junos, Cisco IOS, NOC, Windows Server 2012, Linux Administration',
'Networking, Cloud Computing, Routers, Switches, Network Security',
'NoSQL, Ruby On Rails, XML and JSON based data handling and related APIs, AWS, Development for Android and/or iOS, JIRA, Jasper reporting server, Hadoop and/or MongoDB, .NET and/or Java, Agile-based development',
'Node.js, Golang, NPM, Socket.io, High availability applications, Object-oriented Programming, Javascript Core Concepts, Prototypal Inheritance, Data Object Model, Data Structures',
'Node.js, JavaScript, SPARK, NoSQL',
'Node.js, REACT, Angular, JavaScript',
'Node.js, React.JS, AngularJS',
'OOP (Java/Python/C++ or similar), PHP, JQuery/Angular.js/Backbone.js',
'Objective-C, iOS Development, Cocoa, Core Data, Core Animation, API',
'Operations Analyst, Data Analysis, SQL, Excel',
'Oracle, Oracle E-Business Suite, Oracle Forms, Oracle reports, bi publisher, PL/SQL, Oracle Applications Framework',
'PHP, Java, Hadoop, Kafka, AWS, Python',
'PHP, Ruby On Rails, AWS and Heroku, MVC architecture, JSON-Based APIs, Databases and data modeling/design techniques, GIT, Linux Operating Systems',
'PID contoller, AC/DC/VFD motor drives, single/multi loopcontrollers, industrial automation instrumentation &maintenance, PLC Programming, HMI software programming / Human Machine Interface, electrical & mechanical system torubleshooting, Wonderware / data historian, Controls Engineering, AutoCAD',
'Pattern Recognition, Predictive Modeling, NoSQL datastores, Hadoop / Pig / Spark / Hive, Statistical/Machine-Learning Algorithms, Hadoop / MapReduce / R / SAS / SPSS, Manufacturing',
'Performance Testing, Linux, Python or Ruby, Distributed Systems',
'Performance Testing, Linux, Python or Ruby, Distributed Systems, Performance Analysis and Benchmarking, Performance Engineer',
'PostgreSQL, Java, Distributed Systems, Core Java Libraries, Unit Testing, Big-Data, File Systems, Ruby Scripting, Networking - SOAP - REST- HTTP- TCP/IP, SVN, or Git',
'Presales Engineer, Infrastructure, Data Management, Storage, Hybrid Cloud Management',
'Private Ethereum Compatible Blockchain, Ethereum Public Chain, solidity smart contracts, Go / Javascript / Rust / Python / C / C++ / Ruby, Mist / Geth / Truffle / Web3.js / Parity, ERC20 compatible token project, Distributed Clouds / Containerized Environments, Unix / Linux, GIT / GIT rebase workflow, Open Source Projects',
'Product Development, Web based analytics/BI/Visualization, UI, JavaScript, CSS, HTML5',
'Product Management, Business Intelligence, Product Roadmapping, Analytics, Quality Assurance, Software Development Methodologies, Release Management, Product Delivery',
'Product Management, Enterprise B2B Platforms, SaaS, Cloud Computing, Business Intelligence, New Product Launches, Scaling Software Products',
'Product Marketing, Enterprise Software, RPA Robotic Process Automation, Business Process Automation, Market Intelligence, Sales Enablement',
'Product Marketing, Product Manager, Business intelligence/ analytics, Customer Facing, Solution Marketing, Solution Engineering, Big-Data',
'Product Positioning, Scheduling, Analyzing Data, Land Acquisition, Marketing Analyst, Sales, Logistics/Supply Chain, Home Building, Custom homes',
'Public Accounting, Biotech/Pharma Industry, Budget Planning, Budget monitoring, preparing proposals and contracts, Data Analysis',
'Python, AWS, Big-Data Solution',
'Python, AWS, Big-Data Solution, RESTful APIs',
'Python, AWS, ETL, Mapreduce, Redshift, Lambda, Looker, Data Engineer',
'Python, AWS, PHP, Hadoop, Cassandra, cloud platforms, MongoDB, NoSQL, ROR, Back-End',
'Python, AWS, Redshift, ETL, Hadoop, SPARK, Hive, Kafka',
'Python, C++, Big-Data, Kafka, SPARK, Docker, Containers',
'Python, C++, Scala, SPARK, TDD / BDD, JavaScript, Large-Scale big data applications, Financial Services / Capital Markets, Unix Command Line, Data Structures',
'Python, C++, TDD / BDD, JavaScript, Large-Scale big data applications, Financial Services / Capital Markets, Unix Command Line, Data Structures, Data Feed, Object-oriented Programming',
'Python, Data Engineering, Data Systems (Spark/Hadoop/Hive/Pig/Storm/Elastic), Microservices architecture',
'Python, Data Engineering, Data pipelining, AWS or Cloud',
'Python, ETL, AWS',
'Python, Java, Go, Unix, Linux, Cloud, AWS',
'Python, Java, SQL (BigQuery/Oracle and Hive), Dimensional data modeling & schema design in DW, ETL design (Informatica/Talend/Pentaho), Map Reduce or MPP system, Write abstracted reusable code components, Design data warehouse and data pipelines, Architect/Build/Launch new data models, API Development',
'Python, Java, SQL (BigQuery/Oracle and Hive), ETL design (Informatica/Talend/Pentaho), Write abstracted reusable code components, Design data warehouse and data pipelines, API Development, Linux Shell Scripting, Amazon Redshift and RDS Aurora, Data modeling design and documentation',
'Python, JavaScript, Backbone.JS, JQuery, Angular.js, UI/UX, Big-Data',
'Python, JavaScript, Django/Flask/Pyramid, REACT, Angular, Node.js, NoSQL, AWS/EC2, Google App Engine, CSS/HTML',
'Python, Machine-Learning, neural networks, Risk Analysis, Econometrics, Portfolio Management, Equities, ETFs, NLP',
'Python, Management, Machine-Learning, Statistics, Data Science',
'Python, Multi-threaded Programming, asynchronous programming, REST APIs, SQL, Big-Data, Hadoop Ecosystem, NoSQL, SPARK, Kafka',
'Python, MySQL, Pentaho',
'Python, SAS, GLM, Actuarial Science',
'Python, SPARK, ETL',
'Python, SPARK, Hadoop, ElasticSearch, Cascading, Hive, AWS, Docker, RESTful, JSON',
'Python, SQL, C/C++, Marketing Analytics',
'Python, SQL, Tableau',
'Python, SQL, Tableau, SPARK, hBase, Kafka, Statistical/Mathematical Modeling, NoSQL, scikit-learn, Hadoop',
'Python, Scala, Unix Command Line, Large-Scale big data applications, Kafka, HDFS, Version Control, Containers, Orchestration, CI/CD Pipelines',
'Python, closure, decorator, Data Structures, JSONBuddy, JSON Ana, NOSE Testing, Pie Testing, Unit Testing, API Testing',
'Python/R/Julia, Formulating metrics for optimizing healthcare, Experiment design for client facing optimizations, Developing Model/Data driven solutions, Analysis & Modeling of Large Complex Datasets, Predictive Modeling and Analytics, Client Facing Roles, Machine-Learning',
'Python/R/Julia, Predictive Modeling and Analytics, Machine-Learning, Big-Data - Hadoop/Pig/Hive/Similar, Visualization/Tableau, Healthcare Analytics',
'Quality Control, Database Management Systems, Electronics Manufacturing, Production Data, Quality Engineering, Data Table Making, Visual Basic, Circuitry',
'Quantitative Analysis / Analytics, Statistical Analysis, R/Python, SQL, Machine-Learning',
'Queries, Scripting, Data Warehousing, Cloud, SQL Server, ETL, Ssis, SQL, MongoDB, Cosmos DB',
'R Language, Python, Datasets, SQL Queries',
'R, Python, SQL',
'RUBY, Data Modeling, Whiteboarding, Test Driven Development, JS Frameworks',
'RUBY, JavaScript, Node.js, REACT, MongoDB, PostgreSQL, MySQL, GIT',
'RUBY, MongoDB, JavaScript, Node.js, REACT, PostgreSQL, MySQL, GIT',
'RUBY, Web Application Development, Data Modeling, User Interface, Workflow, REACT, Redux, E-Commerce, Agile',
'Rails, Angular.js, Data Modeling, Web Technologies, Advertising',
'Rapid Application Development, wire-framing, Mocking, Prototyping, Excel/VBA/Python, Bloomberg Terminal (Eikon is a plus), Market Data API, Equity Derivatives, C/C++ or Java/Scala or C#/F#, Data Science Stack',
'React.JS, Redux, MVC Javascript Development, RESTful API, 3rd Party API Integration, Node.js, graphql, Docker, Kubernetes',
'Redshift, Vertica, Mapreduce, Pig, Hive, SPARK, Kafka, Kinesis, Storm',
'Reporting, Architecture, Security',
'Routers, Firewalls, Switches, Wireless Controllers and Access Points, Web Filtering and IPS, VOIP (Avaya), Cisco, SNMP Network Monitors, Network Security, Layer 1 Cabling',
'Ruby On Rails, AWS, PHP',
'Ruby On Rails, Scalability, Security, Algorithms, Big-Data Technologies (Hadoop/MapReduce/Spark)',
'Ruby on Rails / RoR / Ruby / Rails, Data Structures, Algorithms',
'SDET experience (work not academia), Developing Automated Integration/Unit Tests, Test Cases, Python, Linux, Systems Level, Automation Testing, Cloud environments, Big-Data Environments',
'SDLC Methodologies, Oracle R12 business Suite, PL/SQL, ETL, Oracle data integrator (ODI), Informatica PowerCenter, OBIEE/Essbase, BI toolsets',
'SOA experience on the backend, C/C++, Cross platform integration and analysis expert, Java/Javascript, Key IAB standards (VAST/VPAID/VMAP/MRAID/OpenRTB), Developing ad platforms, Large scale data analysis tools (Hadoop), Relational and non-relational database experience, Algorithms and Data Structures, Advertising ecosystems/ad servers/DSPs/SSPs',
'SPARK, Airflow, Redshift, Python',
'SPARK, Kafka, Druid',
'SPARK, Kafka, Hadoop, Hive, Airflow, Java, Scala, Python, Azkaban, SQL',
'SQL Queries, Marketing Analysis, E-Commerce',
'SQL Server Development, TSQL, SSIS/SSRS, Data Warehousing and Data Modeling, C#/OOP',
'SQL Server, Database Design, Ssis, Big-Data tools/technologies',
'SQL Server, Dba, T-SQL, Performance Tuning, Debugging, C#, OLTP, DM/DW, SSIS/SSRS/SSAS, Big-Data / No SQL',
'SQL Server, PL/SQL, T-SQL, SQL Queries, Data Integration, Data Analysis, Problem Solving Skills',
'SQL Server, SSIS/SSRS, Data Scraping, Microsoft Office 365, Power BI, SharePoint, Oracle EBS, ETL Process, OBIEE, Hyperion',
'SQL, Data Analysis, T-SQL, Writing SSRS Reports, Stored Procedures, Table/Scalar Value Tables, SSIS/SSAS, MS Excel',
'SQL, Data Modeling, Data Analytics & Visualization, ETL',
'SQL, Data Modeling, Performance Tuning, Disaster Recovery, AWS, MySQL, PostgreSQL, ERD, Redshift',
'SQL, Data, SQL Server, MySQL',
'SQL, Database Architect, MySQL',
'SQL, Python, R, Statistics, Analytics, E-Commerce, Web Analytics, Subscription Media, Business Intelligence, Business Analytics',
'SQL, Python, R, Tableau, DOMO, Looker, Hive, SPARK, AIB testing, E-Commerce',
'SQL, R, Python, Frequentist, Bayesian',
'SQL, Ssrs, SSAS, Ssis',
'SQL, Tableau, Data Analyst, Ssrs, Ssis, adhoc',
'SQL, Visual Basics, Excel, Access',
'SaaS, Service-Oriented Architecture, micro-services, Management, Distributed Java Systems, NoSQL, Java, Spring, AWS',
'SaaS, Service-Oriented Architecture, micro-services, hands-on development, Management, Distributed Java Systems, Cassandra, NoSQL',
'SaaS/IaaS, Mac, Active Directory, AWS, Network',
'Sales Engineering, IOT, Data Engineer- Hadoop/spark/kafka, Cloud- Aws/azure, Python/R/Scala/SAS',
'Sales Representative, Business Development, Software Sales, Mobile Solutions, Mobile Software',
'Salesforce Certification, Workflow rules / Process Builder, Automate Dashboards, Segment Data, Apex Coding, Marketing Cloud Analytics, Worked in or with Sales Team, Conduct Training / Webinars, Leadership',
'Scala /Python /Java, Algorithms, Hadoop, SQL, Data Analysis',
'Scala, Java, RESTful API, Microservices, Amazon AWS',
'Security Auditing methodologies, PCI Data Security Standards, Information Security, HIPAA, SIEM, Penetration Testing, Firewalls, active directory security',
'Server-side C++, Linux, GPU, IPC, Asynchronous Dataflows, Real-Time Low Latency applications, Lock-free Data Structures, Algorithms, Accelerators',
'SharePoint, .NET, Power BI, Microsoft Teams, Microsoft Technology Stack, system design, Application Databases, Cloud Computing, Batch/Shell scripting',
'SharePoint, .NET, SDLC, Power BI, Microsoft Teams, Great Plains/Dynamics, Requirements Gathering, Mobile Development, Publishing, Telecom and/or Broadband',
'Smack Stack, Scala, Amazon Web Services (AWS)',
'Software Development in C++, Python, Linux, Algorithm Development, Data Structures, Boost/STL',
'Software Development in C++, Python, Linux, Cloud environments, Big-Data Environments',
'Software Development, Business Intelligence, C#, .NET, Java',
'Software Development, Python, Java, Linux, AWS/EC2/S3, MySQL or PostgreSQL, TS/SCI w/ Polygraph, Machine-Learning, Artificial Intelligence, Hadoop',
'Software Development, SQL, Data Analysis, Excel, Data Analyst, Python, Verbal and Written, Financial Analysis, analytical reports, Planning',
"Software Engineer, C++(OOD) C++ programming, Algorithm Design/development, Data Structures, Program Optimization, Customer Facing UI Design, GPU's, Redhat, multi-threaded design",
'Software Engineer, C, C++, Python, Linux Kernel, Drivers, ARM, 686, and/or RISC-V',
'Statistics, Machine-Learning, Applied Mathematics',
'Statistics, Mathematics, Computer Science, Machine-Learning, Product Development, Python, data architectures',
'Systems Programming, C++, Python, Object Storage, Object Store, Data Storage, Network File System, Storage Programming, REST Architecture, Amazon Web Services (AWS)',
'T-SQL, SQL, SQL Server, C#, XML, Database Design, Data Analysis',
'TS/SCI with FS Polygraph Clearance, Java, Map Reduce, Eclipse, Pig, Hadoop, Maven',
'Tableau, ETL, SQL, Automation Technologies, Unix/Linux, Python/R/equivalent',
'Technical Writing - Software Documentation, Create user & functional requirements, Create test plans and test scripts, Design materials (mock-ups/process flowcharts), Create use cases to perform task workflow analysis, Finance & accounting concepts, Salesforce.com, Excel functions to manipulate and visualize data, Agile/Scrum and Kanban environments',
'Telecommunications Industry, Sales Engineering, Sales Consulting, Pre-Sales Support, Application Design, Complex Enterprise Voice & Data Products/Services, Customer presentations, Network Design, Fiber-to-the-Premise (FTTP) Technology, Cost Estimates for Fiber Optic Drops',
'Test Automation, Java/Javascript, Selenium Web Driver / TestNG, Algorithm & Data Structure Development',
'Test Automation, Selenium, API Testing, Ruby/JavaScript/Python, Linux, HTTP, Public Clouds- AWS/EC2/AZURE',
'Test Automation, Selenium, API Testing, Ruby/JavaScript/Python, Linux, HTTP, Public Clouds- AWS/EC2/AZURE, Distributed Systems',
'Top Secret Clearance with CI or FSP, Java C & C++, Cloud Engineering, Big-Data Storage (NoSQL) Hbase/Big Table/CloudBase, Hadoop Distributed File System( HDFS), Serialization JSON or BSON, Windows (2000, 2003, XP, Vista), UNIX or Linux (RedHat 3-5), software integration and software testing, Implementing web services (SOAP and RESTful)',
'UAV, Drone, Mechanical testing, Soldering, data acquisition, Electro-mechanical sub-assemblies/assemblies, AutoCAD, LabView, 3D CAD, SolidWorks',
'UML, Hadoop/Pig/Hive, SQL/NoSQL, EC2/S3/DynamoDB, Data Security',
'Web Application Development, HTML, CSS, JavaScript, PHP, SQL, .NET, Node.js, Data Visualization / Imaging, Agency Experience',
'Widget design, JavaScript, UX, HTML5, CSS3, REST API, UI, Enterprise Products, REST APIs',
'Writing Algorithms, C++, Python, Java, Data Interpretation, LabView, Matlab, Communication Interfaces, JavaScript, Firmware',
'XML, Project Management, Data Analysis',
'analyze and interpret complex digital data, Database, date wrangling, Data Visualization',
'applications Mesos-Kafka-Spark-Yarn-Ignite, Striim-ScaleOut-Hazelcast-Tinker Pop-Blaze Graph, SciKit-Tensorflow-Torch-Café-Cassandra-Hadoop, Mongo-MySQL-Oracle-MemSQL',
'cloud architecture, AWS Lambda, Messaging technologies, Data Processing Pipelines, Redis',
'econometric modeling, Statistical Modeling, Quantitative research methods, R, Python, SPARK, SQL, Machine-Learning Algorithms, Machine-Learning, Data Mining',
'fullstack, Node.js, AWS',
'iOS App Development, iOS frameworks and SDK, Objective C, SWIFT, RESTful APIs/JSON, Core Data Frameworks, XCode/AppCode, MySQL/SQLite, Context-Aware Application & API Builds, React Native experience or knowledge (Huge Plus)',
'modeling, Python, Panda, applications'}
def wordnet_pos(tag):
"""Map a Brown POS tag to a WordNet POS tag."""
table = {"N": wordnet.NOUN, "V": wordnet.VERB, "R": wordnet.ADV, "J": wordnet.ADJ}
# Default to a noun.
return table.get(tag[0], wordnet.NOUN)
def newtext(text):
'''Return a new text after the stopwords and lemmatizing'''
blob = TextBlob(text)
new_text = " ".join(w for w in blob.words if w.lower() not in stop_words)
blob = TextBlob(new_text)
tags = [wordnet_pos(x[1]) for x in blob.pos_tags]
new_text = " ".join(x.lemmatize(t) for x, t in zip(blob.words, tags))
blob = TextBlob(new_text)
return new_text
def ReturnCount(text):
'''Return a word counts dictionary'''
new = newtext(text)
blob = TextBlob(new)
return blob.word_counts
def countdata(text):
'''
Sort the counts of each distinct word
input:text(string)
output:datafrane of the word counts dictionary
'''
dic = ReturnCount(text)
count=pd.DataFrame(list(dic.items()), columns=['word', 'count'])
return count
def countsort(text):
'''
sort the countdata
input:text(string)
output:dataframe of 10 most frequent words and their counts
'''
df1 = countdata(text)
newdf = df1.sort_values(by='count', ascending=False).head(20)
return newdf
def barplot(text,theme):
'''
input:text(string),theme like art,sports(string)
output:barplot of the most frequent words and counts
'''
data = countsort(text)
new = newtext(text)
plt.rcParams['figure.figsize'] = (10, 10)
sns.set(font_scale = 1.5)
sns.set_style("whitegrid")
fruit_bar = sns.barplot(x = "word", y = "count", data =data)
for item in fruit_bar.get_xticklabels():
item.set_rotation(60)
plt.title(theme)
fruit_bar.set(ylabel = 'Count', xlabel = 'Word')
p=plt.show()
return p
def wordcloud(text,theme):
'''
input:text(string),theme like art,sports(string)
output:wordcloud of the text
'''
data=countsort(text)
new=newtext(text)
# Generate a word cloud image
wordcloud = WordCloud().generate(new)
# lower max_font_size
wordcloud = WordCloud(max_font_size=40).generate(new)
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.title('wordcloud of '+theme)
p=plt.show()
return p
skills=' '.join([str(i) for i in skills_df['Skills']])
skills_frequency = countsort(skills)
skills_frequency = skills_frequency.sort_values(by = 'count', ascending = False).reset_index(drop = True)
skills_frequency
| word | count | |
|---|---|---|
| 0 | python | 172 |
| 1 | java | 138 |
| 2 | sql | 130 |
| 3 | machine-learning | 100 |
| 4 | c | 88 |
| 5 | big-data | 77 |
| 6 | hadoop | 64 |
| 7 | aws | 59 |
| 8 | linux | 47 |
| 9 | javascript | 45 |
| 10 | spark | 44 |
| 11 | scala | 40 |
| 12 | etl | 36 |
| 13 | intelligence | 33 |
| 14 | cisco | 32 |
| 15 | network | 32 |
| 16 | cloud | 32 |
| 17 | r | 32 |
| 18 | web | 30 |
| 19 | kafka | 30 |
(ggplot(skills_frequency, aes(x = "word", y = 'count', fill='word')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Overall Skills - Data Scientist, Data Engineer, Data Analyst, and Business Intelligence", x = "Skills", y = "Frequency")
)
<ggplot: (-9223372029308767842)>
def grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):
"""
Purpose : Change the color of the words in the word cloud to grey scale
"""
return "hsl(0, 0%%, %d%%)" % random.randint(70, 100)
overall_skills = WordCloud(relative_scaling = 0, stopwords = stop_words, width = 600, height = 300)
overall_skills.generate(skills)
plt.figure(figsize = (15,7.5))
plt.imshow(overall_skills.recolor(color_func = grey_color_func, random_state = 1), interpolation = "bilinear")
plt.axis("off")
plt.tight_layout(pad = -1)
plt.title("Overall Skills - Data Scientist, Data Engineer, Data Analyst, and Business Intelligence")
plt.show()
ds_skills
--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-516-f984fb03098e> in <module>() ----> 1 ds_skills NameError: name 'ds_skills' is not defined
ds_skills=' '.join([str(i) for i in data_scientist_df['Skills']])
ds_skills_frequency = countsort(ds_skills)
ds_skills_frequency = ds_skills_frequency.sort_values(by = 'count', ascending = False).reset_index(drop = True)
ds_skills_frequency
| word | count | |
|---|---|---|
| 0 | learning | 66 |
| 1 | machine | 58 |
| 2 | python | 51 |
| 3 | r | 22 |
| 4 | sql | 19 |
| 5 | mining | 13 |
| 6 | hadoop | 13 |
| 7 | nlp | 11 |
| 8 | big | 10 |
| 9 | java | 8 |
| 10 | spark | 8 |
| 11 | ai | 7 |
| 12 | predictive | 7 |
| 13 | statistical | 7 |
| 14 | product | 7 |
| 15 | risk | 6 |
| 16 | neural | 6 |
| 17 | bayesian | 6 |
| 18 | code | 6 |
| 19 | network | 6 |
(ggplot(ds_skills_frequency, aes(x = "word", y = 'count', fill='word')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Overall Skills - Data Scientist", x = "Skills", y = "Frequency")
)
<ggplot: (-9223372029285089550)>
ds_overall_skills = WordCloud(relative_scaling = 0, stopwords = stop_words, width = 600, height = 300)
ds_overall_skills.generate(ds_skills)
plt.figure(figsize = (15,7.5))
plt.imshow(ds_overall_skills.recolor(color_func = grey_color_func, random_state = 1), interpolation = "bilinear")
plt.axis("off")
plt.tight_layout(pad = -1)
plt.title("Overall Skills - Data Scientist")
plt.show()
de_skills=' '.join([str(i) for i in data_engineer_df['Skills']])
de_skills_frequency = countsort(de_skills)
de_skills_frequency = de_skills_frequency.sort_values(by = 'count', ascending = False).reset_index(drop = True)
de_skills_frequency
| word | count | |
|---|---|---|
| 0 | java | 120 |
| 1 | python | 112 |
| 2 | c | 76 |
| 3 | big | 73 |
| 4 | sql | 62 |
| 5 | aws | 51 |
| 6 | hadoop | 50 |
| 7 | learning | 47 |
| 8 | linux | 47 |
| 9 | machine | 43 |
| 10 | javascript | 42 |
| 11 | spark | 35 |
| 12 | scala | 34 |
| 13 | cisco | 32 |
| 14 | ruby | 29 |
| 15 | web | 28 |
| 16 | application | 27 |
| 17 | cloud | 27 |
| 18 | kafka | 26 |
| 19 | android | 26 |
(ggplot(de_skills_frequency, aes(x = "word", y = 'count', fill='word')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Overall Skills - Data Engineer", x = "Skills", y = "Frequency")
)
<ggplot: (7551618287)>
de_overall_skills = WordCloud(relative_scaling = 0, stopwords = stop_words, width = 600, height = 300)
de_overall_skills.generate(de_skills)
plt.figure(figsize = (15,7.5))
plt.imshow(de_overall_skills.recolor(color_func = grey_color_func, random_state = 1), interpolation = "bilinear")
plt.axis("off")
plt.tight_layout(pad = -1)
plt.title("Overall Skills - Data Engineer")
plt.show()
da_skills=' '.join([str(i) for i in data_analyst_df['Skills']])
da_skills_frequency = countsort(da_skills)
da_skills_frequency = da_skills_frequency.sort_values(by = 'count', ascending = False).reset_index(drop = True)
da_skills_frequency
| word | count | |
|---|---|---|
| 0 | sql | 30 |
| 1 | excel | 18 |
| 2 | tableau | 10 |
| 3 | financial | 10 |
| 4 | analyst | 8 |
| 5 | python | 8 |
| 6 | automation | 8 |
| 7 | marketing | 5 |
| 8 | e-commerce | 5 |
| 9 | create | 5 |
| 10 | project | 5 |
| 11 | query | 4 |
| 12 | process | 4 |
| 13 | automate | 4 |
| 14 | team | 4 |
| 15 | write | 4 |
| 16 | test | 4 |
| 17 | end | 4 |
| 18 | qa | 4 |
| 19 | ms | 4 |
(ggplot(da_skills_frequency, aes(x = "word", y = 'count', fill='word')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Overall Skills - Data Analyst", x = "Skills", y = "Frequency")
)
<ggplot: (7551532345)>
da_overall_skills = WordCloud(relative_scaling = 0, stopwords = stop_words, width = 600, height = 300)
da_overall_skills.generate(da_skills)
plt.figure(figsize = (15,7.5))
plt.imshow(da_overall_skills.recolor(color_func = grey_color_func, random_state = 1), interpolation = "bilinear")
plt.axis("off")
plt.tight_layout(pad = -1)
plt.title("Overall Skills - Data Analyst")
plt.show()
bi_skills=' '.join([str(i) for i in BI_df['Skills']])
bi_skills_frequency = countsort(bi_skills)
bi_skills_frequency = bi_skills_frequency.sort_values(by = 'count', ascending = False).reset_index(drop = True)
bi_skills_frequency
| word | count | |
|---|---|---|
| 0 | intelligence | 27 |
| 1 | sql | 19 |
| 2 | bi | 15 |
| 3 | oracle | 12 |
| 4 | etl | 11 |
| 5 | java | 9 |
| 6 | product | 8 |
| 7 | sales | 8 |
| 8 | enterprise | 7 |
| 9 | one | 7 |
| 10 | net | 7 |
| 11 | marketing | 6 |
| 12 | tableau | 6 |
| 13 | power | 6 |
| 14 | saas | 6 |
| 15 | process | 5 |
| 16 | c | 5 |
| 17 | microsoft | 5 |
| 18 | publisher | 5 |
| 19 | ssrs | 4 |
(ggplot(bi_skills_frequency, aes(x = "word", y = 'count', fill='word')) +
geom_bar(stat = "identity", position='stack', show_legend = False)+
theme(figure_size=(10, 6),axis_text_x= element_text(rotation=80))+
labs(title = "Overall Skills - Business Intelligence", x = "Skills", y = "Frequency")
)
<ggplot: (7563990262)>
bi_overall_skills = WordCloud(relative_scaling = 0, stopwords = stop_words, width = 600, height = 300)
bi_overall_skills.generate(bi_skills)
plt.figure(figsize = (15,7.5))
plt.imshow(bi_overall_skills.recolor(color_func = grey_color_func, random_state = 1), interpolation = "bilinear")
plt.axis("off")
plt.tight_layout(pad = -1)
plt.title("Overall Skills - Business Intelligence")
plt.show()
description_df = master_data.copy()
#generate wordlist and lemmatizer
wordnet_lemmatizer = WordNetLemmatizer()
#preprocessing function
def my_preprocessing(s):
s = s.lower() # downcase
s = re.sub(r"\W"," ",s)
s = re.sub(r"\d"," ",s)
s = re.sub(r"\s+[a-z]\s+"," ",s)
s = re.sub(r"^[a-zA-Z\s*]*what you will be doing",'',s)
s = re.sub(r"\s+",' ',s)
return s
responsibilities=[]
benefits=[]
jddataset = description_df['Description']
for i in range(len(jddataset)):
s = my_preprocessing(jddataset[i])
if 'what in it for you' in s :
responsibility = s.split('what in it for you')[0]
benefit = s.split('what in it for you')[1]
else:
responsibility = s
benefit = ''
responsibilities.append(responsibility)
benefits.append(benefit)
def my_tokenize(s):
tokens = nltk.tokenize.word_tokenize(s) # split string into words (tokens)
tokens = [t for t in tokens if len(t) > 2] # remove short words, they're probably not useful
tokens = [wordnet_lemmatizer.lemmatize(t) for t in tokens] # put words into base form
tokens = [t for t in tokens if t not in set(stop_words)]# remove stopwords
s = ' '.join(tokens)
return s
#tokenize responsibilities
for i in range(len(responsibilities)):
responsibilities[i] = my_tokenize(responsibilities[i])
i = i+1
text = pd.DataFrame(responsibilities,columns = ['re'])
text['re']
0 traffic predictor risk assessment tool determi... 1 iterate improve risk engine fraud modelswork i... 2 become cornerstone company capability across p... 3 scientist engineer responsible following build... 4 scientist please read located north austin dow... 5 working help build cool product primary respon... 6 descriptiondata scientist need analyze financi... 7 scientist engineer responsible following build... 8 scientist mining set statistic philadelphiawe ... 9 scientist machine learning python tableau tren... 10 scientist southbaywe creating platform product... 11 work scientist product manager customer succes... 12 ideal candidate expertise working large set ex... 13 develop implement advanced statistical perform... 14 scientist report chief technology officer obje... 15 ideal candidate expertise working large set ex... 16 develop implement advanced statistical perform... 17 develop nlp help customer understand contracts... 18 responsible researching building machine learn... 19 develop custom algorithm apply set evaluate ef... 20 traffic predictor risk assessment tool determi... 21 combine understanding goal machine learning co... 22 senior scientistwe looking scientist part inst... 23 senior scientistwe looking scientist part inst... 24 san jose relocation included application consi... 25 inform product strategy influence product road... 26 senior scientistwe looking scientist part inst... 27 looking scientist part instructional team seek... 28 looking scientist part instructional team seek... 29 creating develop launch next generation financ... 30 creating develop launch next generation financ... 31 growing team adapting analyst teaching python ... 32 growing team adapting analyst teaching python ... 33 creating develop launch next generation financ... 34 creating develop launch next generation financ... 35 senior scientist machine learning python table... 36 chief scientist machine learning python philly... 37 chief scientist machine learning python bay ar... 38 creating develop launch next generation financ... 39 cross functional team designer developer produ... 40 center innovative corporate group rapidly grow... 41 key team member innovate smart manufacturing p... 42 stellar scientist hadoop platform read interna... 43 frame conduct experiment drawing tremendously ... 44 relocation nashville availablelocated nashvill... 45 looking chief scientist responsible establishi... 46 creating machine learning solution assist deli... 47 creating machine learning solution assist deli... 48 working help build cool product primary respon... 49 develop new machine learning cognitive computi... 50 role bring passion technology apply skill plat... 51 role bring passion technology apply skill plat... 52 working alongside small team elite engineer pu... 53 role bring passion technology apply skill plat... 54 position responsible mining demographic clinic... 55 working alongside small team elite engineer pu... 56 using complex statistical improve portfolio pe... 57 conduct research meta learning machine learnin... 58 growing team adapting analyst teaching python ... 59 work exciting problem recommendation improve u... 60 scientist working closely client team build pr... 61 part decision function including contributing ... 62 scientist python please read based san mateo w... 63 year intelligence communityexperience verifica... 64 year intelligence communityexperience verifica... 65 construct end end flow raw prediction crunch a... 66 seeking someone build support critical backend... 67 inform product strategy influence product road... 68 expert convolutional neural network tensorflow... 69 scientist python please read based san mateo w... 70 construct fully automated risk control engine ... 71 advanced emerging technology team currently ne... 72 assist designing creation debugging sql etl pa... 73 engineer looking new opportunity raleigh area ... 74 engineer looking new opportunity raleigh area ... 75 engineer looking new opportunity raleigh area ... 76 sql nosql database determining requirement pla... 77 san jose relocation included application consi... 78 designing maintaining improving warehouseact f... 79 maintain improve pipeline using hadoop spark a... 80 engineer please read mobile company us big pre... 81 engineer please read mobile company us big pre... 82 mysql warehouse technical ownership maintenanc... 83 creating curating bigtables hbase cassandra st... 84 provides consultation technical expertise rega... 85 san jose relocation included application consi... 86 senior engineer posse strong python building i... 87 apply best principle agile methodology researc... 88 build maintain big platform using open source ... 89 help scale complex machine learning pipeline u... 90 lead team engineer build scalable highly avail... 91 lead strategy implementation storage access pl... 92 lead strategy implementation storage access pl... 93 looking strong engineer contribute creating wo... 94 integral part web optimization product team ch... 95 senior engineer experienced warehousing year t... 96 partner digital product customer supply chain ... 97 assemble large complex set meet functional non... 98 coding daily language like python scala integr... 99 coding daily language like python scala integr... 100 identify define algorithm improvement trading ... 101 identify define algorithm improvement trading ... 102 integral part web optimization product team ch... 103 build scalable reliable near real time pipelin... 104 big engineer please read title big engineersal... 105 integral part web optimization product team ch... 106 leading voice authority architecture newest pr... 107 uptime collection appropriate redundancy speci... 108 senior engineer etl sql big please read leadin... 109 exciting stuff big showing linux shell scripti... 110 frame conduct experiment drawing tremendously ... 111 senior engineer python tableau sql please read... 112 building product help customer fulfill service... 113 building product help customer fulfill service... 114 scale improve big platform provide operational... 115 lead maintenance scalable pipeline gather requ... 116 help develop analyze new predictive tool worki... 117 work cross functionally different department d... 118 use sql python linux aws environment support i... 119 engineer responsible following deployment new ... 120 developing connected automated vehicle infrast... 121 develop refine oversee master standard includi... 122 designing improving functionality web applicat... 123 big engineer responsible following architect d... 124 helping develop big analytical application des... 125 helping develop big analytical application des... 126 exciting stuff big showing yourlinux shell scr... 127 helping develop big analytical application des... 128 crucial contributor cloud backend architecture... 129 creating curating bigtables hbase cassandra st... 130 crucial contributor cloud backend architecture... 131 crucial contributor cloud backend architecture... 132 building working pipeline help manage understa... 133 build develop big nosql solution sql database ... 134 bring deep knowledge building real product usi... 135 senior warehouse developer etl sql big please ... 136 star schema need built improved reporting feed... 137 helping develop big analytical application des... 138 lead big engineer dod clearance please read go... 139 senior engineer developing web application jav... 140 senior engineer year professional industry ple... 141 background machine learning collaborate engine... 142 partner sale partnership gain deep understandi... 143 architect three year industry please read situ... 144 senior engineer please read million people yea... 145 develop implement hadoop based big solution di... 146 nutshell working ingest huge amount scale crea... 147 developer big please read located north austin... 148 processing large amount using big technology h... 149 build support service managing open identify r... 150 work current team stakeholder create innovativ... 151 work current team stakeholder create innovativ... 152 individual work architect develop release adva... 153 pipeline collection appropriate redundancy spe... 154 lead effort democratize access akuna architect... 155 essential responsibility center consulting eng... 156 essential responsibility center consulting eng... 157 essential responsibility center consulting eng... 158 key member gui team ensure success building ro... 159 role responsibility include engaging client nu... 160 experimentation platform like doe debating mer... 161 senior engineer developing web application jav... 162 develop object store client push pull wire spe... 163 develop object store client push pull wire spe... 164 infrastructure team mission build solution int... 165 develop large scale distributed convert day st... 166 java big pipeline engineer please read impleme... 167 develop linux smart client transfer parallel m... 168 develop large scale distributed convert day st... 169 build big processing streaming line processing... 170 rolewe got lot moving part developed house pur... 171 technical resource customer presales support s... 172 high performance developing multi threaded sha... 173 based san mateo right near closest train stop ... 174 architectural knowledge improve reliability ef... 175 role responsibility include engaging client nu... 176 member team help achieve goal designing develo... 177 member team help achieve goal designing develo... 178 year enterprise scale network operation year h... 179 rolewe got lot moving part developed house pur... 180 develop robust scalable core miso platform opt... 181 infrastructure team mission build solution int... 182 build application io platform collaborate team... 183 build maintain distributed processing componen... 184 company leader intelligence helm warehousing p... 185 develop maintain multiple database database pe... 186 located san jose ruby developer engineer pleas... 187 spearhead major infrastructure devops reliabil... 188 heavily involved architecture hand front end a... 189 full stack engineer posse strong python javasc... 190 maintain improve product offering location int... 191 sql developer understands complex code ha stro... 192 salesforce engineer deal highly ambiguous prob... 193 java client project working exciting innovativ... 194 work large commercial cad application perform ... 195 role actively participates database developer ... 196 function senior member team working responsibi... 197 develop java spring json jee rest work agile s... 198 participate entire lifecycle concept full stac... 199 develop java spring json jee rest work agile s... 200 participate entire lifecycle concept full stac... 201 responsible partnering implement database web ... 202 machine learning engineer work scientist devel... 203 machine learning engineer year please read app... 204 san jose relocation included application consi... 205 passionate sql engineer love solving problem r... 206 expand competitive edge delivering world class... 207 looking primarily etl focused developer aws cl... 208 help architect develop cloud based platform in... 209 help architect develop cloud based platform in... 210 join small highly collaborative team enjoy wor... 211 join small highly collaborative team enjoy wor... 212 working latest product involve automated prici... 213 integrate principal team comprised engineer bu... 214 building scalable high quality code solid code... 215 lead devops effort petabyte scale collection m... 216 based san mateo right near closest train stop ... 217 based san mateo right near closest train stop ... 218 build application io platform collaborate team... 219 supporting head operation quality control manu... 220 build configure platform service oriented arch... 221 senior android engineer please read relocate a... 222 coding daily language like python scala javasc... 223 looking variety expert expertise following are... 224 looking variety expert expertise following are... 225 work highly interactive team oriented environm... 226 position involve designing developing algorith... 227 primary responsibility position include analyz... 228 leading multi platform application analyze fea... 229 consumer financing company offering combinatio... 230 mentor lead junior developer opportunity use t... 231 mentor lead junior developer opportunity use t... 232 engineer responsible ensure feature deliverabl... 233 leading automation effort growing organization... 234 mentor lead junior developer opportunity use t... 235 critical member high performance team solving ... 236 critical member high performance team solving ... 237 building high quality application sweet modern... 238 leading automation effort growing organization... 239 lead new technology capability expansion effor... 240 backend engineer implement api endpoint using ... 241 create prototype develop execute machine learn... 242 building tool improve machine learning project... 243 fpga board level hardware engineer responsible... 244 full stack including front end visualization m... 245 code new user facing feature integrate various... 246 improving query speed setting best practice te... 247 helping create next big big need positionexper... 248 net developer asp net message looking highly s... 249 role work team research prototype build mainta... 250 work aspect information technology basic works... 251 work aspect information technology basic works... 252 coding daily language like python scala javasc... 253 working team expert golang developer developin... 254 full stack engineer posse strong python javasc... 255 full stack engineer posse strong ruby javascri... 256 work team building generate workload tool unde... 257 full stack engineer posse strong ruby mongodb ... 258 work team building generate workload tool unde... 259 salesforce developer deal highly ambiguous pro... 260 senior salesforce developer deal highly ambigu... 261 serve team frontend lead developer developing ... 262 help develop manage enforce related policy pro... 263 lead example take ownership face adversity abi... 264 looking experienced full stack web developer m... 265 collaborate exciting tech focused challenging ... 266 work within team solve complex problem daily b... 267 lead team building platform create driven dash... 268 engineer raleigh area read adtech startup base... 269 engineer raleigh area read adtech startup base... 270 building high performance massively scalable a... 271 role work within small talented imaging team u... 272 lead senior mobile engineer responsible follow... 273 senior mobile engineer responsible following i... 274 building high performance massively scalable a... 275 mixed signal circuit function top level analog... 276 role work within small talented imaging team u... 277 implementing automotive product part approval ... 278 role develop ship safety critical high perform... 279 work team support several enterprise applicati... 280 role work within small talented imaging team u... 281 lead platform engineer technical stack respons... 282 lead platform engineer technical stack respons... 283 developer building highly scalable web applica... 284 coding daily language like python scala javasc... 285 build maintain distributed processing componen... 286 responsibility may include installing troubles... 287 network strategy analyze price complex service... 288 seeking experienced developer help build scala... 289 act subject matter expert cisco cisco cisco un... 290 act subject matter expert cisco cisco cisco un... 291 based denver leading tech company ha revolutio... 292 develop restful api work closely team member d... 293 working thing sql queriesscriptingmigrationsda... 294 build architecture lead marquee platform code ... 295 mentor lead junior developer opportunity use t... 296 responsible creating open source application v... 297 collaborate exciting tech focused challenging ... 298 instrumental driving kafka implementation kafk... 299 contribute engineer team passionate delivering... 300 contribute engineer team passionate delivering... 301 platform engineer rail angular please read loc... 302 build application io platform collaborate team... 303 developing application solution reporting etc ... 304 lead senior mobile engineer responsible follow... 305 lead senior mobile engineer responsible follow... 306 building high performance massively scalable a... 307 lead manager technical stack responsible maxim... 308 department looking talented senior core java d... 309 identifies risk threat vulnerability network a... 310 develop core capability used build rich functi... 311 designing developing troubleshooting product d... 312 implement core component orchestration stack o... 313 lead conduct defensive cyberspace operation dc... 314 help architecture decision complex million lin... 315 linux developer please read immediate consider... 316 qualified candidate responsible service produc... 317 qualified candidate responsible service produc... 318 feature multi tenancy high availability scalab... 319 developer new feature functionality large web ... 320 creating clean well documented efficient stand... 321 feature multi tenancy high availability scalab... 322 partner product owner scrum master optimize im... 323 partner product owner scrum master optimize im... 324 improving query speed setting best practice te... 325 based san mateo right near closest train stop ... 326 maintain improve product offering location int... 327 working aspect deploying maintaining upgrading... 328 infrastructure architecture production environ... 329 job get opportunity exercise polished net skil... 330 building implementing high quality front end v... 331 maintain various component web application cre... 332 deploy support high performance highly availab... 333 deploy support high performance highly availab... 334 info coming soon need positionat least year kn... 335 role opportunity technical leader working smal... 336 use deep learning optimize large scale machine... 337 leading automation deployment monitoring aws h... 338 work team building generate workload tool unde... 339 leading automation deployment monitoring aws h... 340 implement automated part sldc ensure quality e... 341 build maintain distributed processing componen... 342 develop solidity smart contract run ethereum p... 343 responsibility build maintain distributed proc... 344 create sophisticated efficient visually pleasi... 345 product area lead effort one feature work team... 346 full stack web mobile application variety lang... 347 analyze develop high quality web application p... 348 typical primary task develop concept uav inclu... 349 bring technical skill developing professional ... 350 push limit innovation disrupt industry world c... 351 working product multi iteration product releas... 352 position involve designing developing algorith... 353 title mid level web developer javascript angul... 354 title mid levelcompensation negotiablecontract... 355 gather finalize requirement based product requ... 356 building high performance massively scalable a... 357 develop robust scalable core miso platform opt... 358 develop robust scalable core platform optimize... 359 leverage knowledge medical device participate ... 360 technical solution around cisco cisco focused ... 361 solving complex architecture working distribut... 362 work team develop requirement establish constr... 363 year strong understanding object oriented prog... 364 daily responsibility include architecture code... 365 serf technical expert head end monitor control... 366 provide senior level family multi tier azure c... 367 one successful technology start ups philadelph... 368 lead engineer please read immediate considerat... 369 architect centric networked rapidly changing g... 370 responsible creating driven web application wo... 371 looking add talented contract hire senior engi... 372 engineer play key role integral part team exci... 373 work platform team develop automated integrati... 374 work platform team develop automated integrati... 375 senior engineer performs professional work con... 376 manager authority stop production process feel... 377 join small highly collaborative team enjoy wor... 378 develop robust scalable platform optimize algo... 379 senior java programmer developing laboratory l... 380 work experienced staff develop deliver cutting... 381 responsibility position include helping implem... 382 work industry leading mobile application used ... 383 developing solution control mobile road constr... 384 developing solution control mobile road constr... 385 year strong understanding object oriented prog... 386 support lan wan network segment intranet surve... 387 work risk based pricing product part small tea... 388 work platform team develop automated integrati... 389 cloud engineer active sci fsp year including r... 390 member hybris team senior application engineer... 391 work platform team develop automated integrati... 392 work experienced staff develop deliver cutting... 393 believe highly hard work creativity innovation... 394 creating enhancing saas based solution create ... 395 maintain various component web application cre... 396 java client project working exciting innovativ... 397 java client project working exciting innovativ... 398 java client project working exciting innovativ... 399 believe highly hard work creativity innovation... 400 engineer responsible designing writing code ca... 401 support lan wan network segment intranet surve... 402 support lan wan network segment intranet surve... 403 developing client side view feature using reac... 404 exciting stuff big showing linux shell scripti... 405 working along side portfolio manager lead stra... 406 implement solution fully meet requirement lead... 407 serve member team implementation control hardw... 408 responsible improvement automated manufacturin... 409 deep learning experienced neural network tenso... 410 act electrical engineer complex electrical inf... 411 junior senior level position available review ... 412 developing leading edge controlled random veri... 413 developing leading edge controlled random veri... 414 building high performance massively scalable a... 415 building high performance massively scalable a... 416 develop maintain new existing work build core ... 417 believe way implementing case know designing i... 418 implementing technology solution client addres... 419 implementing technology solution client addres... 420 lead sourcing support advanced cloud computing... 421 analyst analyze hyper local source develop acc... 422 working side side client developing team provi... 423 obsession number desire tell story driven perf... 424 building maintaining complex marketing custome... 425 integral member corporate finance team positio... 426 lead analyst python tableau sql please read le... 427 summaryperforms subject matter expert rdms vis... 428 working large consumer set extracting analyzin... 429 creating enhancing tableau dashboard performin... 430 critically evaluate information gathered multi... 431 maintain enhance end user table reporting tool... 432 maintain enhance end user table reporting tool... 433 analyst please read solid global organization ... 434 lead analyst python tableau sql please read le... 435 senior analyst python tableau sql please read ... 436 database warehouse analyst involved warehouse ... 437 working highly confidential initiative drive d... 438 conducting support variety analytic solution c... 439 conducting support variety analytic solution c... 440 conducting support variety analytic solution c... 441 work engineer scientist analyst build extend t... 442 manage delivery report presentation recommenda... 443 collaborate technical service platform support... 444 extracting analyzing creating report searching... 445 process monthly capitation payment reporting p... 446 extracting analyzing creating report searching... 447 support month end close reporting support annu... 448 reporting analyst responsible providing timely... 449 salesforce analyst responsible following proac... 450 financial analyst position responsible reporti... 451 financial analyst position responsible reporti... 452 position report information officer responsibl... 453 position report information officer responsibl... 454 position report information officer responsibl... 455 successful candidate must show thrive excel wo... 456 using incident feature tracking create ticket ... 457 project control analyst pca assist project pro... 458 senior project control analyst lead pca assist... 459 seeking lead salesforce configurator analyst j... 460 seeking lead salesforce configurator analyst j... 461 interface corporate department facility person... 462 interface corporate department facility person... 463 looking experienced senior analyst responsible... 464 looking experienced senior analyst responsible... 465 preparation annual planpreparation monthly qua... 466 assisting annual market positioning study assi... 467 interface corporate department facility person... 468 creates maintains ensures quality assurance hu... 469 analyze develop high quality web application p... 470 managing team year related field integration w... 471 report developer please read strong global org... 472 report developer please read strong global org... 473 translating taking complex need join blend und... 474 hand director intelligence please read descrip... 475 hand director intelligence please read descrip... 476 conduct process need assessment preliminary co... 477 conduct process need assessment preliminary co... 478 responsible ownership intelligence including m... 479 responsibility include limited handle bodily i... 480 healthcare solution company orange county area... 481 ideal candidate working across unit site partn... 482 designing deploying scratch database database ... 483 lead build team deliver high impact insight fi... 484 based seattle intelligence saas platform compa... 485 etl tableau developer team working team develo... 486 hand leader engaging complex challenge informa... 487 developer primarily responsible programming ch... 488 responsibility overall relationship customer s... 489 oracle application developer read technology c... 490 responsible recurring reporting across build t... 491 must play key role growth tasked rapid expansi... 492 responsible designing documenting helping impl... 493 edward enterpriseone developer please read sol... 494 develop write code new existing database prima... 495 develop product solution content support outbo... 496 oversight requirement functional architecture ... 497 creates information solution manages analyst d... 498 edward enterpriseone developer please read sol... 499 oversight requirement functional architecture ... 500 edward enterpriseone developer please read sol... 501 develop proprietary service match merge qualit... 502 based austin revolutionary cognitive computing... 503 position important company responsible success... 504 position important company responsible success... 505 applicant need demonstrate deep knowledge proc... 506 position important company responsible success... 507 leading team accounting professional analyst p... 508 leading organization within finance spacewhy h... 509 database architect please read intelligence co... 510 located beautiful palo alto looking lead java ... 511 working tight knit team adding newest platform... 512 hand technical leader hand leadership actively... 513 help drive architecture implementation new fea... 514 leader energetically promote market develop op... 515 leader energetically promote market develop op... 516 leader energetically promote market develop op... 517 differentiate position product solution creati... 518 identify prospect sell market space schedule m... Name: re, dtype: object
text_list = [i.split() for i in text['re']]
len(text_list)
519
stop_list = ['experience', 'data']
for i in range(len(text_list)):
for word in list(text_list[i]): # iterating on a copy since removing will mess things up
if word in stop_list:
text_list[i].remove(word)
# Importing Gensim
import gensim
from gensim import corpora
# Creating the term dictionary of our courpus, where every unique term is assigned an index.
dictionary = corpora.Dictionary(text_list)
dictionary.save('dictionary.dict')
print (dictionary)
Dictionary(4878 unique tokens: ['able', 'added', 'analytical', 'applied', 'apply']...)
# Converting list of documents (corpus) into Document Term Matrix using dictionary prepared above.
doc_term_matrix = [dictionary.doc2bow(doc) for doc in text_list]
corpora.MmCorpus.serialize('corpus.mm', doc_term_matrix)
print (len(doc_term_matrix))
print (doc_term_matrix[100])
519 [(4, 1), (11, 1), (22, 1), (24, 1), (33, 1), (34, 3), (48, 1), (58, 1), (62, 1), (73, 1), (79, 1), (82, 1), (83, 1), (87, 1), (97, 1), (105, 1), (106, 2), (108, 1), (119, 1), (121, 1), (127, 1), (140, 2), (150, 1), (159, 1), (166, 1), (168, 1), (170, 1), (173, 1), (234, 1), (243, 1), (318, 1), (330, 1), (364, 1), (392, 1), (542, 1), (604, 1), (700, 1), (702, 1), (703, 1), (705, 1), (718, 1), (722, 1), (727, 1), (728, 1), (1230, 1), (1264, 1), (1302, 1), (1305, 1), (1323, 1), (1783, 4), (1785, 1), (1786, 1), (1787, 1), (1788, 2)]
from time import time
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO,
filename='running.log',filemode='w')
start = time()
# Creating the object for LDA model using gensim library
Lda = gensim.models.ldamodel.LdaModel
# Running and Trainign LDA model on the document term matrix.
ldamodel = Lda(doc_term_matrix, num_topics=10, id2word = dictionary, passes=50)
print ('used: {:.2f}s'.format(time()-start))
used: 24.50s
for i in ldamodel.print_topics():
for j in i: print (j)
0 0.011*"product" + 0.010*"need" + 0.009*"technology" + 0.009*"knowledge" + 0.009*"customer" + 0.008*"team" + 0.007*"plus" + 0.007*"year" + 0.007*"reporting" + 0.007*"market" 1 0.010*"knowledge" + 0.010*"application" + 0.009*"need" + 0.009*"year" + 0.009*"tool" + 0.008*"user" + 0.008*"technology" + 0.008*"working" + 0.007*"skill" + 0.007*"quality" 2 0.014*"work" + 0.013*"need" + 0.012*"please" + 0.011*"year" + 0.011*"java" + 0.008*"engineer" + 0.008*"company" + 0.008*"python" + 0.008*"solution" + 0.008*"apply" 3 0.010*"tool" + 0.009*"work" + 0.009*"knowledge" + 0.009*"need" + 0.007*"team" + 0.007*"network" + 0.007*"python" + 0.007*"strong" + 0.006*"support" + 0.006*"using" 4 0.023*"learning" + 0.021*"machine" + 0.013*"need" + 0.011*"team" + 0.010*"year" + 0.008*"knowledge" + 0.008*"python" + 0.007*"statistical" + 0.007*"algorithm" + 0.007*"working" 5 0.015*"team" + 0.012*"need" + 0.010*"work" + 0.010*"application" + 0.009*"year" + 0.009*"solution" + 0.009*"technology" + 0.008*"develop" + 0.008*"product" + 0.007*"project" 6 0.024*"knowledge" + 0.014*"network" + 0.011*"java" + 0.010*"highly" + 0.010*"internals" + 0.010*"distributed" + 0.008*"environment" + 0.008*"working" + 0.007*"skill" + 0.007*"time" 7 0.014*"year" + 0.012*"scientist" + 0.012*"passion" + 0.011*"project" + 0.010*"new" + 0.009*"teaching" + 0.009*"cloud" + 0.008*"product" + 0.008*"quarter" + 0.008*"team" 8 0.016*"work" + 0.014*"sql" + 0.011*"year" + 0.010*"team" + 0.010*"performance" + 0.009*"need" + 0.009*"knowledge" + 0.009*"position" + 0.009*"develop" + 0.008*"working" 9 0.017*"product" + 0.012*"infrastructure" + 0.011*"need" + 0.007*"platform" + 0.007*"cloud" + 0.006*"building" + 0.006*"team" + 0.006*"like" + 0.006*"technology" + 0.006*"related"
ldamodel.save('topic.model')
import pyLDAvis.gensim
import gensim
pyLDAvis.enable_notebook()
d = gensim.corpora.Dictionary.load('dictionary.dict')
c = gensim.corpora.MmCorpus('corpus.mm')
lda = gensim.models.LdaModel.load('topic.model')
data = pyLDAvis.gensim.prepare(lda, c, d)
data
pyLDAvis.save_html(data,'vis.html')
%%time
import gensim
import warnings
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
warnings.filterwarnings("ignore")
lda = gensim.models.LdaModel.load('topic.model')
CPU times: user 6.96 ms, sys: 3.4 ms, total: 10.4 ms Wall time: 8.39 ms
fiz=plt.figure(figsize=(15,30))
for i in range(10):
df=pd.DataFrame(lda.show_topic(i), columns=['term','prob']).set_index('term')
plt.subplot(5,2,i+1)
plt.title('topic '+str(i+1))
sns.barplot(x='prob', y=df.index, data=df, label='Cities', palette='Reds_d')
plt.xlabel('probability')
plt.show()
word2count = {}
for data in responsibilities:
words = nltk.word_tokenize(data)
for word in words:
if word not in word2count.keys():
word2count[word] = 1
else:
word2count[word] += 1
#sort words
from collections import OrderedDict
sorted_word = OrderedDict(sorted(word2count.items(), key=lambda kv: kv[1], reverse=True))
sorted_word
OrderedDict([('need', 605),
('team', 536),
('year', 515),
('knowledge', 482),
('work', 481),
('product', 349),
('working', 344),
('technology', 332),
('application', 319),
('learning', 312),
('solution', 306),
('tool', 305),
('machine', 273),
('python', 273),
('skill', 269),
('strong', 266),
('position', 263),
('project', 261),
('engineer', 241),
('develop', 235),
('environment', 234),
('new', 234),
('sql', 233),
('service', 230),
('platform', 229),
('java', 224),
('big', 214),
('degree', 213),
('etc', 213),
('please', 207),
('cloud', 205),
('database', 195),
('building', 192),
('computer', 190),
('plus', 187),
('technical', 184),
('process', 181),
('using', 180),
('related', 180),
('performance', 172),
('ability', 167),
('build', 167),
('understanding', 166),
('customer', 165),
('apply', 164),
('architecture', 163),
('support', 162),
('quality', 158),
('company', 156),
('code', 156),
('developing', 155),
('high', 151),
('including', 150),
('user', 147),
('problem', 146),
('based', 143),
('large', 142),
('web', 138),
('aws', 136),
('requirement', 133),
('programming', 131),
('senior', 129),
('language', 127),
('spark', 127),
('hadoop', 127),
('developer', 127),
('today', 126),
('industry', 126),
('field', 125),
('distributed', 124),
('algorithm', 123),
('least', 123),
('network', 122),
('complex', 122),
('end', 122),
('processing', 121),
('client', 121),
('infrastructure', 115),
('framework', 115),
('integration', 115),
('reporting', 114),
('time', 114),
('scientist', 113),
('highly', 113),
('bachelor', 112),
('practice', 107),
('well', 106),
('use', 106),
('looking', 106),
('lead', 103),
('best', 103),
('create', 102),
('required', 102),
('linux', 101),
('scale', 98),
('source', 97),
('provide', 97),
('intelligence', 96),
('role', 95),
('across', 94),
('like', 94),
('feature', 93),
('scalable', 92),
('information', 92),
('following', 91),
('report', 91),
('multiple', 90),
('plan', 88),
('help', 87),
('top', 86),
('opportunity', 85),
('sale', 85),
('must', 85),
('expertise', 85),
('maintain', 85),
('one', 84),
('javascript', 84),
('financial', 83),
('stack', 83),
('etl', 81),
('pipeline', 81),
('communication', 81),
('advanced', 81),
('implement', 80),
('hand', 80),
('expert', 80),
('set', 79),
('level', 79),
('writing', 78),
('statistical', 77),
('creating', 77),
('area', 77),
('production', 76),
('implementation', 76),
('agile', 74),
('issue', 74),
('scala', 73),
('deep', 73),
('automated', 73),
('operation', 73),
('marketing', 72),
('master', 72),
('enterprise', 71),
('within', 70),
('preferred', 70),
('core', 70),
('professional', 70),
('identify', 69),
('manager', 69),
('market', 69),
('analyst', 69),
('designing', 68),
('positionat', 68),
('responsible', 67),
('architect', 67),
('drive', 66),
('ensure', 66),
('read', 66),
('candidate', 66),
('passion', 65),
('full', 65),
('key', 65),
('partner', 65),
('improve', 63),
('understand', 63),
('driven', 63),
('real', 63),
('solid', 63),
('various', 63),
('control', 62),
('relational', 62),
('multi', 62),
('equivalent', 61),
('research', 61),
('storage', 60),
('part', 60),
('automation', 60),
('analyze', 59),
('solving', 59),
('pattern', 59),
('standard', 59),
('leading', 59),
('able', 58),
('implementing', 58),
('strategy', 57),
('fast', 56),
('learn', 55),
('make', 54),
('technique', 54),
('relevant', 54),
('scripting', 54),
('include', 54),
('nosql', 54),
('closely', 54),
('excellent', 53),
('visualization', 53),
('review', 53),
('computing', 52),
('tableau', 52),
('functional', 51),
('leadership', 51),
('organization', 51),
('familiarity', 51),
('configuration', 51),
('background', 50),
('around', 50),
('oriented', 50),
('result', 50),
('existing', 50),
('api', 50),
('deployment', 50),
('training', 49),
('open', 48),
('internal', 48),
('growing', 48),
('also', 48),
('proficient', 48),
('phd', 47),
('improvement', 47),
('perform', 47),
('cross', 47),
('react', 47),
('good', 46),
('interface', 46),
('member', 46),
('continuous', 46),
('delivery', 46),
('mining', 45),
('document', 45),
('decision', 45),
('managing', 45),
('methodology', 45),
('supporting', 45),
('program', 45),
('object', 45),
('analytical', 44),
('excel', 44),
('dynamic', 44),
('ruby', 44),
('oracle', 44),
('angular', 44),
('coding', 43),
('net', 43),
('meet', 43),
('query', 43),
('unit', 43),
('statistic', 42),
('small', 42),
('similar', 42),
('kafka', 42),
('microsoft', 42),
('monitor', 41),
('structure', 41),
('want', 41),
('relationship', 41),
('day', 41),
('mobile', 41),
('participate', 41),
('html', 41),
('monitoring', 40),
('written', 40),
('responsibility', 40),
('collaborate', 40),
('join', 40),
('window', 40),
('salesforce', 40),
('warehouse', 39),
('stakeholder', 39),
('resource', 39),
('reason', 39),
('center', 39),
('case', 39),
('paced', 39),
('documentation', 39),
('quantitative', 38),
('directly', 38),
('positionmust', 38),
('networking', 38),
('capability', 37),
('way', 37),
('world', 37),
('healthcare', 37),
('deliver', 37),
('edge', 37),
('vision', 37),
('deploying', 37),
('operating', 37),
('component', 37),
('innovative', 36),
('providing', 36),
('assist', 36),
('write', 36),
('analyzing', 36),
('consulting', 36),
('ha', 36),
('cycle', 36),
('power', 36),
('com', 36),
('access', 36),
('administration', 36),
('cisco', 36),
('certification', 36),
('hardware', 36),
('rpa', 36),
('positionmore', 35),
('library', 35),
('tech', 35),
('minimum', 35),
('method', 35),
('leader', 35),
('positionrequirements', 35),
('maintaining', 35),
('predictive', 34),
('mysql', 34),
('self', 34),
('career', 34),
('cassandra', 34),
('life', 34),
('effort', 34),
('growth', 34),
('great', 34),
('office', 34),
('image', 34),
('maintenance', 34),
('backend', 34),
('procedure', 34),
('rest', 34),
('front', 34),
('manage', 34),
('spring', 34),
('insight', 33),
('used', 33),
('ideal', 33),
('focused', 33),
('solve', 33),
('teaching', 33),
('employee', 33),
('stream', 33),
('git', 33),
('effectively', 33),
('apis', 33),
('azure', 33),
('would', 32),
('optimization', 32),
('back', 32),
('proven', 32),
('event', 32),
('google', 32),
('daily', 32),
('concept', 32),
('applied', 31),
('startup', 31),
('different', 31),
('passionate', 31),
('goal', 31),
('space', 31),
('ssis', 31),
('troubleshooting', 31),
('task', 31),
('communicate', 30),
('function', 30),
('external', 30),
('right', 30),
('basic', 30),
('love', 30),
('approach', 30),
('benefit', 30),
('manufacturing', 30),
('fundamental', 30),
('cs', 30),
('availability', 29),
('current', 29),
('electrical', 29),
('interest', 29),
('amount', 29),
('san', 29),
('hard', 29),
('next', 29),
('unix', 29),
('protocol', 29),
('individual', 28),
('metric', 28),
('robust', 28),
('consumer', 28),
('presentation', 28),
('comfortable', 28),
('discipline', 28),
('domain', 28),
('cutting', 28),
('variety', 28),
('dashboard', 28),
('start', 28),
('specification', 28),
('desired', 28),
('bash', 28),
('ecosystem', 27),
('define', 27),
('math', 27),
('record', 27),
('detail', 27),
('evaluate', 27),
('optimize', 27),
('integrate', 27),
('mongodb', 27),
('take', 27),
('restful', 27),
('focus', 26),
('line', 26),
('objective', 26),
('strategic', 26),
('future', 26),
('innovation', 26),
('recommendation', 26),
('others', 26),
('nlp', 26),
('hive', 26),
('order', 26),
('generation', 26),
('lifecycle', 26),
('operational', 26),
('proficiency', 26),
('active', 26),
('critical', 26),
('department', 26),
('nice', 26),
('internals', 26),
('facing', 26),
('commerce', 25),
('successful', 25),
('redshift', 25),
('global', 25),
('base', 25),
('segment', 25),
('course', 25),
('quarter', 25),
('search', 25),
('basis', 25),
('finance', 25),
('artificial', 25),
('docker', 25),
('travel', 25),
('effective', 25),
('activity', 25),
('change', 25),
('general', 25),
('direction', 25),
('efficiency', 25),
('equipment', 25),
('risk', 24),
('determine', 24),
('reliability', 24),
('trend', 24),
('mentor', 24),
('success', 24),
('package', 24),
('school', 24),
('offering', 24),
('ideally', 24),
('bonus', 24),
('subject', 24),
('includes', 24),
('talented', 24),
('point', 24),
('planning', 24),
('mentoring', 24),
('firewall', 24),
('mathematics', 23),
('flow', 23),
('clean', 23),
('range', 23),
('pig', 23),
('helping', 23),
('act', 23),
('matter', 23),
('contribute', 23),
('performing', 23),
('provides', 23),
('needed', 23),
('amazon', 23),
('postgresql', 23),
('cost', 23),
('handle', 23),
('sdlc', 23),
('json', 23),
('saas', 23),
('extensive', 23),
('complete', 23),
('job', 23),
('previous', 22),
('competitive', 22),
('latest', 22),
('huge', 22),
('specific', 22),
('appropriate', 22),
('class', 22),
('play', 22),
('meeting', 22),
('hbase', 22),
('delivering', 22),
('initiative', 22),
('familiar', 22),
('modern', 22),
('value', 22),
('shell', 22),
('tuning', 22),
('router', 22),
('ssrs', 22),
('duty', 22),
('side', 22),
('overall', 21),
('track', 21),
('structured', 21),
('impact', 21),
('idea', 21),
('question', 21),
('enhance', 21),
('interested', 21),
('streaming', 21),
('experienced', 21),
('scaling', 21),
('challenge', 21),
('load', 21),
('wan', 21),
('node', 21),
('tensorflow', 20),
('built', 20),
('people', 20),
('series', 20),
('medium', 20),
('non', 20),
('scalability', 20),
('fun', 20),
('posse', 20),
('natural', 20),
('grow', 20),
('group', 20),
('smart', 20),
('aspect', 20),
('interact', 20),
('may', 20),
('hire', 20),
('script', 20),
('clearance', 20),
('device', 20),
('jquery', 20),
('assurance', 20),
('extraction', 19),
('gather', 19),
('emr', 19),
('involved', 19),
('prototype', 19),
('creative', 19),
('apache', 19),
('matlab', 19),
('collaborative', 19),
('table', 19),
('established', 19),
('rapidly', 19),
('deploy', 19),
('quickly', 19),
('account', 19),
('massive', 19),
('currently', 19),
('store', 19),
('layer', 19),
('establish', 19),
('release', 19),
('priority', 19),
('tcp', 19),
('io', 19),
('depth', 18),
('primary', 18),
('someone', 18),
('resume', 18),
('willingness', 18),
('diverse', 18),
('validation', 18),
('ecommerce', 18),
('material', 18),
('revenue', 18),
('budget', 18),
('public', 18),
('digital', 18),
('debugging', 18),
('serve', 18),
('storm', 18),
('staff', 18),
('trading', 18),
('version', 18),
('request', 18),
('human', 18),
('integrity', 18),
('junior', 18),
('even', 18),
('advantageous', 18),
('hybris', 18),
('suite', 17),
('verbal', 17),
('improving', 17),
('conduct', 17),
('person', 17),
('get', 17),
('state', 17),
('three', 17),
('retrieval', 17),
('push', 17),
('optimizing', 17),
('kubernetes', 17),
('provider', 17),
('million', 17),
('bscs', 17),
('elasticsearch', 17),
('date', 17),
('cybercoders', 17),
('site', 17),
('advertising', 17),
('location', 17),
('necessary', 17),
('available', 17),
('microservices', 17),
('xml', 17),
('chain', 17),
('switch', 17),
('come', 17),
('timely', 17),
('interpersonal', 17),
('post', 17),
('mvc', 17),
('file', 17),
('accounting', 17),
('assessment', 16),
('custom', 16),
('present', 16),
('towards', 16),
('common', 16),
('execution', 16),
('regression', 16),
('le', 16),
('potential', 16),
('discussion', 16),
('challenging', 16),
('mapreduce', 16),
('functionality', 16),
('volume', 16),
('drawing', 16),
('keep', 16),
('detailed', 16),
('bring', 16),
('demonstrated', 16),
('exciting', 16),
('behavior', 16),
('prior', 16),
('find', 16),
('handling', 16),
('maintainable', 16),
('party', 16),
('desire', 16),
('container', 16),
('tdd', 16),
('devops', 16),
('along', 16),
('signal', 16),
('oop', 16),
('practical', 16),
('hibernate', 16),
('wireless', 16),
('many', 15),
('prepare', 15),
('collaboration', 15),
('important', 15),
('validate', 15),
('wide', 15),
('execute', 15),
('two', 15),
('enhancing', 15),
('demand', 15),
('apps', 15),
('vendor', 15),
('form', 15),
('evaluation', 15),
('tier', 15),
('major', 15),
('php', 15),
('either', 15),
('warehousing', 15),
('scope', 15),
('parallel', 15),
('orchestration', 15),
('troubleshoot', 15),
('frontend', 15),
('interaction', 15),
('distribution', 15),
('micro', 15),
('limited', 15),
('competent', 15),
('concurrency', 15),
('apex', 15),
('qualification', 15),
('preferably', 15),
('schedule', 15),
('incident', 15),
('increase', 14),
('coordinate', 14),
('neural', 14),
('transformation', 14),
('finding', 14),
('know', 14),
('analytic', 14),
('willing', 14),
('memory', 14),
('unstructured', 14),
('commercial', 14),
('presenting', 14),
('independently', 14),
('raw', 14),
('expand', 14),
('care', 14),
('student', 14),
('month', 14),
('incomplete', 14),
('salary', 14),
('medical', 14),
('principle', 14),
('blockchain', 14),
('motivated', 14),
('develops', 14),
('ensuring', 14),
('produce', 14),
('integrating', 14),
('mission', 14),
('scrum', 14),
('direct', 14),
('resolve', 14),
('bug', 14),
('email', 14),
('transfer', 14),
('browser', 14),
('ccnp', 14),
('train', 14),
('architectural', 14),
('messaging', 14),
('personnel', 14),
('engine', 13),
('detection', 13),
('stay', 13),
('address', 13),
('number', 13),
('proprietary', 13),
('local', 13),
('fit', 13),
('engaging', 13),
('recommend', 13),
('forecast', 13),
('thrive', 13),
('interview', 13),
('online', 13),
('culture', 13),
('generate', 13),
('outside', 13),
('designer', 13),
('offer', 13),
('embedded', 13),
('hdfs', 13),
('identifying', 13),
('long', 13),
('response', 13),
('peer', 13),
('funded', 13),
('send', 13),
('found', 13),
('app', 13),
('higher', 13),
('secure', 13),
('resolution', 13),
('update', 13),
('coverage', 13),
('entity', 13),
('maven', 13),
('proactively', 13),
('contract', 13),
('brand', 13),
('accurate', 13),
('jira', 13),
('entire', 13),
('http', 13),
('android', 13),
('upgrade', 13),
('content', 13),
('utilizing', 12),
('closed', 12),
('leverage', 12),
('quick', 12),
('hour', 12),
('guidance', 12),
('screening', 12),
('option', 12),
('every', 12),
('postgres', 12),
('contributing', 12),
('extract', 12),
('term', 12),
('iot', 12),
('actionable', 12),
('sci', 12),
('fully', 12),
('emerging', 12),
('optimal', 12),
('massively', 12),
('low', 12),
('voice', 12),
('datacenter', 12),
('virtualization', 12),
('soap', 12),
('tracking', 12),
('name', 12),
('positionrequired', 12),
('additional', 12),
('enhancement', 12),
('status', 12),
('regular', 12),
('organizational', 12),
('collaboratively', 12),
('routing', 12),
('robotic', 12),
('engage', 12),
('robotics', 12),
('run', 12),
('logic', 12),
('visual', 12),
('policy', 12),
('acceptance', 12),
('monthly', 12),
('enterpriseone', 12),
('payment', 11),
('leveraging', 11),
('accuracy', 11),
('launch', 11),
('diagram', 11),
('home', 11),
('acquisition', 11),
('capacity', 11),
('health', 11),
('add', 11),
('extremely', 11),
('intelligent', 11),
('facilitate', 11),
('interpret', 11),
('history', 11),
('datasets', 11),
('spend', 11),
('speaking', 11),
('whatever', 11),
('answer', 11),
('enjoy', 11),
('interesting', 11),
('stability', 11),
('influence', 11),
('roadmap', 11),
('third', 11),
('prototyping', 11),
('portfolio', 11),
('funding', 11),
('driving', 11),
('combination', 11),
('efficient', 11),
('another', 11),
('move', 11),
('root', 11),
('cause', 11),
('collection', 11),
('verification', 11),
('estate', 11),
('automate', 11),
('yr', 11),
('chef', 11),
('ownership', 11),
('broad', 11),
('exposure', 11),
('jvm', 11),
('ground', 11),
('redis', 11),
('reduce', 11),
('input', 11),
('successfully', 11),
('word', 11),
('constantly', 11),
('asset', 11),
('clear', 11),
('positionexperience', 11),
('threaded', 11),
('sdn', 11),
('controller', 11),
('imaging', 11),
('circuit', 11),
('experiment', 10),
('effectiveness', 10),
('scikit', 10),
('changing', 10),
('considered', 10),
('predict', 10),
('collect', 10),
('kera', 10),
('player', 10),
('explore', 10),
('collaborating', 10),
('sa', 10),
('cluster', 10),
('beyond', 10),
('call', 10),
('conference', 10),
('essential', 10),
('jose', 10),
('thousand', 10),
('guide', 10),
('setting', 10),
('plusso', 10),
('integral', 10),
('division', 10),
('expected', 10),
('audience', 10),
('communicating', 10),
('raleigh', 10),
('gap', 10),
('deal', 10),
('strongly', 10),
('metadata', 10),
('kinesis', 10),
('zookeeper', 10),
('outstanding', 10),
('puppet', 10),
('reliable', 10),
('mdm', 10),
('compensation', 10),
('recently', 10),
('mentality', 10),
('na', 10),
('ansible', 10),
('hoc', 10),
('associated', 10),
('github', 10),
('stable', 10),
('assigned', 10),
('rapid', 10),
('ccie', 10),
('prevention', 10),
('speed', 10),
('jenkins', 10),
('accomplish', 10),
('dns', 10),
('premise', 10),
('compliance', 10),
('backbone', 10),
('follow', 10),
('threading', 10),
('iso', 10),
('asp', 10),
('lan', 10),
('setup', 10),
('deadline', 10),
('module', 10),
('video', 10),
('construction', 10),
('oral', 10),
('director', 10),
('edward', 10),
('jde', 10),
('scientific', 9),
('early', 9),
('outcome', 9),
('feedback', 9),
('round', 9),
('random', 9),
('forward', 9),
('gain', 9),
('aggregation', 9),
('attention', 9),
('scenario', 9),
('theory', 9),
('without', 9),
('satisfaction', 9),
('reading', 9),
('log', 9),
('college', 9),
('simple', 9),
('incredible', 9),
('instructor', 9),
('assisting', 9),
('hiring', 9),
('unlimited', 9),
('pto', 9),
('throughout', 9),
('heterogeneous', 9),
('index', 9),
('text', 9),
('panda', 9),
('corporate', 9),
('creation', 9),
('physic', 9),
('competency', 9),
('unique', 9),
...])
#choose most frequent ones
freq_words = heapq.nlargest(1000,word2count,key = word2count.get)
freq_words
['need', 'team', 'year', 'knowledge', 'work', 'product', 'working', 'technology', 'application', 'learning', 'solution', 'tool', 'machine', 'python', 'skill', 'strong', 'position', 'project', 'engineer', 'develop', 'environment', 'new', 'sql', 'service', 'platform', 'java', 'big', 'degree', 'etc', 'please', 'cloud', 'database', 'building', 'computer', 'plus', 'technical', 'process', 'using', 'related', 'performance', 'ability', 'build', 'understanding', 'customer', 'apply', 'architecture', 'support', 'quality', 'company', 'code', 'developing', 'high', 'including', 'user', 'problem', 'based', 'large', 'web', 'aws', 'requirement', 'programming', 'senior', 'language', 'spark', 'hadoop', 'developer', 'today', 'industry', 'field', 'distributed', 'algorithm', 'least', 'network', 'complex', 'end', 'processing', 'client', 'infrastructure', 'framework', 'integration', 'reporting', 'time', 'scientist', 'highly', 'bachelor', 'practice', 'well', 'use', 'looking', 'lead', 'best', 'create', 'required', 'linux', 'scale', 'source', 'provide', 'intelligence', 'role', 'across', 'like', 'feature', 'scalable', 'information', 'following', 'report', 'multiple', 'plan', 'help', 'top', 'opportunity', 'sale', 'must', 'expertise', 'maintain', 'one', 'javascript', 'financial', 'stack', 'etl', 'pipeline', 'communication', 'advanced', 'implement', 'hand', 'expert', 'set', 'level', 'writing', 'statistical', 'creating', 'area', 'production', 'implementation', 'agile', 'issue', 'scala', 'deep', 'automated', 'operation', 'marketing', 'master', 'enterprise', 'within', 'preferred', 'core', 'professional', 'identify', 'manager', 'market', 'analyst', 'designing', 'positionat', 'responsible', 'architect', 'drive', 'ensure', 'read', 'candidate', 'passion', 'full', 'key', 'partner', 'improve', 'understand', 'driven', 'real', 'solid', 'various', 'control', 'relational', 'multi', 'equivalent', 'research', 'storage', 'part', 'automation', 'analyze', 'solving', 'pattern', 'standard', 'leading', 'able', 'implementing', 'strategy', 'fast', 'learn', 'make', 'technique', 'relevant', 'scripting', 'include', 'nosql', 'closely', 'excellent', 'visualization', 'review', 'computing', 'tableau', 'functional', 'leadership', 'organization', 'familiarity', 'configuration', 'background', 'around', 'oriented', 'result', 'existing', 'api', 'deployment', 'training', 'open', 'internal', 'growing', 'also', 'proficient', 'phd', 'improvement', 'perform', 'cross', 'react', 'good', 'interface', 'member', 'continuous', 'delivery', 'mining', 'document', 'decision', 'managing', 'methodology', 'supporting', 'program', 'object', 'analytical', 'excel', 'dynamic', 'ruby', 'oracle', 'angular', 'coding', 'net', 'meet', 'query', 'unit', 'statistic', 'small', 'similar', 'kafka', 'microsoft', 'monitor', 'structure', 'want', 'relationship', 'day', 'mobile', 'participate', 'html', 'monitoring', 'written', 'responsibility', 'collaborate', 'join', 'window', 'salesforce', 'warehouse', 'stakeholder', 'resource', 'reason', 'center', 'case', 'paced', 'documentation', 'quantitative', 'directly', 'positionmust', 'networking', 'capability', 'way', 'world', 'healthcare', 'deliver', 'edge', 'vision', 'deploying', 'operating', 'component', 'innovative', 'providing', 'assist', 'write', 'analyzing', 'consulting', 'ha', 'cycle', 'power', 'com', 'access', 'administration', 'cisco', 'certification', 'hardware', 'rpa', 'positionmore', 'library', 'tech', 'minimum', 'method', 'leader', 'positionrequirements', 'maintaining', 'predictive', 'mysql', 'self', 'career', 'cassandra', 'life', 'effort', 'growth', 'great', 'office', 'image', 'maintenance', 'backend', 'procedure', 'rest', 'front', 'manage', 'spring', 'insight', 'used', 'ideal', 'focused', 'solve', 'teaching', 'employee', 'stream', 'git', 'effectively', 'apis', 'azure', 'would', 'optimization', 'back', 'proven', 'event', 'google', 'daily', 'concept', 'applied', 'startup', 'different', 'passionate', 'goal', 'space', 'ssis', 'troubleshooting', 'task', 'communicate', 'function', 'external', 'right', 'basic', 'love', 'approach', 'benefit', 'manufacturing', 'fundamental', 'cs', 'availability', 'current', 'electrical', 'interest', 'amount', 'san', 'hard', 'next', 'unix', 'protocol', 'individual', 'metric', 'robust', 'consumer', 'presentation', 'comfortable', 'discipline', 'domain', 'cutting', 'variety', 'dashboard', 'start', 'specification', 'desired', 'bash', 'ecosystem', 'define', 'math', 'record', 'detail', 'evaluate', 'optimize', 'integrate', 'mongodb', 'take', 'restful', 'focus', 'line', 'objective', 'strategic', 'future', 'innovation', 'recommendation', 'others', 'nlp', 'hive', 'order', 'generation', 'lifecycle', 'operational', 'proficiency', 'active', 'critical', 'department', 'nice', 'internals', 'facing', 'commerce', 'successful', 'redshift', 'global', 'base', 'segment', 'course', 'quarter', 'search', 'basis', 'finance', 'artificial', 'docker', 'travel', 'effective', 'activity', 'change', 'general', 'direction', 'efficiency', 'equipment', 'risk', 'determine', 'reliability', 'trend', 'mentor', 'success', 'package', 'school', 'offering', 'ideally', 'bonus', 'subject', 'includes', 'talented', 'point', 'planning', 'mentoring', 'firewall', 'mathematics', 'flow', 'clean', 'range', 'pig', 'helping', 'act', 'matter', 'contribute', 'performing', 'provides', 'needed', 'amazon', 'postgresql', 'cost', 'handle', 'sdlc', 'json', 'saas', 'extensive', 'complete', 'job', 'previous', 'competitive', 'latest', 'huge', 'specific', 'appropriate', 'class', 'play', 'meeting', 'hbase', 'delivering', 'initiative', 'familiar', 'modern', 'value', 'shell', 'tuning', 'router', 'ssrs', 'duty', 'side', 'overall', 'track', 'structured', 'impact', 'idea', 'question', 'enhance', 'interested', 'streaming', 'experienced', 'scaling', 'challenge', 'load', 'wan', 'node', 'tensorflow', 'built', 'people', 'series', 'medium', 'non', 'scalability', 'fun', 'posse', 'natural', 'grow', 'group', 'smart', 'aspect', 'interact', 'may', 'hire', 'script', 'clearance', 'device', 'jquery', 'assurance', 'extraction', 'gather', 'emr', 'involved', 'prototype', 'creative', 'apache', 'matlab', 'collaborative', 'table', 'established', 'rapidly', 'deploy', 'quickly', 'account', 'massive', 'currently', 'store', 'layer', 'establish', 'release', 'priority', 'tcp', 'io', 'depth', 'primary', 'someone', 'resume', 'willingness', 'diverse', 'validation', 'ecommerce', 'material', 'revenue', 'budget', 'public', 'digital', 'debugging', 'serve', 'storm', 'staff', 'trading', 'version', 'request', 'human', 'integrity', 'junior', 'even', 'advantageous', 'hybris', 'suite', 'verbal', 'improving', 'conduct', 'person', 'get', 'state', 'three', 'retrieval', 'push', 'optimizing', 'kubernetes', 'provider', 'million', 'bscs', 'elasticsearch', 'date', 'cybercoders', 'site', 'advertising', 'location', 'necessary', 'available', 'microservices', 'xml', 'chain', 'switch', 'come', 'timely', 'interpersonal', 'post', 'mvc', 'file', 'accounting', 'assessment', 'custom', 'present', 'towards', 'common', 'execution', 'regression', 'le', 'potential', 'discussion', 'challenging', 'mapreduce', 'functionality', 'volume', 'drawing', 'keep', 'detailed', 'bring', 'demonstrated', 'exciting', 'behavior', 'prior', 'find', 'handling', 'maintainable', 'party', 'desire', 'container', 'tdd', 'devops', 'along', 'signal', 'oop', 'practical', 'hibernate', 'wireless', 'many', 'prepare', 'collaboration', 'important', 'validate', 'wide', 'execute', 'two', 'enhancing', 'demand', 'apps', 'vendor', 'form', 'evaluation', 'tier', 'major', 'php', 'either', 'warehousing', 'scope', 'parallel', 'orchestration', 'troubleshoot', 'frontend', 'interaction', 'distribution', 'micro', 'limited', 'competent', 'concurrency', 'apex', 'qualification', 'preferably', 'schedule', 'incident', 'increase', 'coordinate', 'neural', 'transformation', 'finding', 'know', 'analytic', 'willing', 'memory', 'unstructured', 'commercial', 'presenting', 'independently', 'raw', 'expand', 'care', 'student', 'month', 'incomplete', 'salary', 'medical', 'principle', 'blockchain', 'motivated', 'develops', 'ensuring', 'produce', 'integrating', 'mission', 'scrum', 'direct', 'resolve', 'bug', 'email', 'transfer', 'browser', 'ccnp', 'train', 'architectural', 'messaging', 'personnel', 'engine', 'detection', 'stay', 'address', 'number', 'proprietary', 'local', 'fit', 'engaging', 'recommend', 'forecast', 'thrive', 'interview', 'online', 'culture', 'generate', 'outside', 'designer', 'offer', 'embedded', 'hdfs', 'identifying', 'long', 'response', 'peer', 'funded', 'send', 'found', 'app', 'higher', 'secure', 'resolution', 'update', 'coverage', 'entity', 'maven', 'proactively', 'contract', 'brand', 'accurate', 'jira', 'entire', 'http', 'android', 'upgrade', 'content', 'utilizing', 'closed', 'leverage', 'quick', 'hour', 'guidance', 'screening', 'option', 'every', 'postgres', 'contributing', 'extract', 'term', 'iot', 'actionable', 'sci', 'fully', 'emerging', 'optimal', 'massively', 'low', 'voice', 'datacenter', 'virtualization', 'soap', 'tracking', 'name', 'positionrequired', 'additional', 'enhancement', 'status', 'regular', 'organizational', 'collaboratively', 'routing', 'robotic', 'engage', 'robotics', 'run', 'logic', 'visual', 'policy', 'acceptance', 'monthly', 'enterpriseone', 'payment', 'leveraging', 'accuracy', 'launch', 'diagram', 'home', 'acquisition', 'capacity', 'health', 'add', 'extremely', 'intelligent', 'facilitate', 'interpret', 'history', 'datasets', 'spend', 'speaking', 'whatever', 'answer', 'enjoy', 'interesting', 'stability', 'influence', 'roadmap', 'third', 'prototyping', 'portfolio', 'funding', 'driving', 'combination', 'efficient', 'another', 'move', 'root', 'cause', 'collection', 'verification', 'estate', 'automate', 'yr', 'chef', 'ownership', 'broad', 'exposure', 'jvm', 'ground', 'redis', 'reduce', 'input', 'successfully', 'word', 'constantly', 'asset', 'clear', 'positionexperience', 'threaded', 'sdn', 'controller', 'imaging', 'circuit', 'experiment', 'effectiveness', 'scikit', 'changing', 'considered', 'predict', 'collect', 'kera', 'player', 'explore', 'collaborating', 'sa', 'cluster', 'beyond', 'call', 'conference', 'essential', 'jose', 'thousand', 'guide', 'setting', 'plusso', 'integral', 'division', 'expected', 'audience', 'communicating', 'raleigh', 'gap', 'deal', 'strongly', 'metadata', 'kinesis', 'zookeeper', 'outstanding', 'puppet', 'reliable', 'mdm', 'compensation', 'recently', 'mentality', 'na', 'ansible', 'hoc', 'associated', 'github', 'stable', 'assigned', 'rapid', 'ccie', 'prevention', 'speed', 'jenkins', 'accomplish', 'dns', 'premise', 'compliance', 'backbone', 'follow', 'threading', 'iso', 'asp', 'lan', 'setup', 'deadline', 'module', 'video', 'construction', 'oral', 'director', 'edward', 'jde', 'scientific', 'early', 'outcome', 'feedback', 'round', 'random', 'forward', 'gain', 'aggregation', 'attention', 'scenario', 'theory', 'without', 'satisfaction', 'reading', 'log', 'college', 'simple', 'incredible', 'instructor', 'assisting', 'hiring', 'unlimited', 'pto', 'throughout', 'heterogeneous', 'index', 'text', 'panda', 'corporate', 'creation', 'physic', 'competency', 'unique']
word_frequencies =' '.join([str(i) for i in freq_words])
frequent_words = WordCloud(relative_scaling = 0, stopwords = stop_words, width = 600, height = 300)
frequent_words.generate(word_frequencies)
plt.figure(figsize = (15,7.5))
plt.imshow(frequent_words.recolor(color_func = grey_color_func, random_state = 1), interpolation = "bilinear")
plt.axis("off")
plt.tight_layout(pad = -1)
plt.title("Description - Frequent Words")
plt.show()
min_state_df = master_data[master_data['Min_Salary'] != 'Unknown'].reset_index(drop = True)
max_state_df = master_data[master_data['Max_Salary'] != 'Unknown'].reset_index(drop = True)
min_state_set = np.unique(min_state_df['States'])
max_state_set = np.unique(max_state_df['States'])
min_state_dict = dict(tuple(min_state_df.groupby('States')))
max_state_dict = dict(tuple(max_state_df.groupby('States')))
min_state_salaries = {}
max_state_salaries = {}
for state in min_state_set:
avg_min_salary = int(min_state_dict[state]['Min_Salary'].mean())
min_state_salaries.update({state : avg_min_salary})
for state in max_state_set:
avg_max_salary = int(max_state_dict[state]['Max_Salary'].mean())
max_state_salaries.update({state : avg_max_salary})
min_state_salaries = OrderedDict(sorted(min_state_salaries.items(), key=lambda t: t[1]))
max_state_salaries = OrderedDict(sorted(max_state_salaries.items(), key=lambda t: t[1]))
min_state_salaries
OrderedDict([('NV', 55000),
('AZ', 60000),
('IN', 67000),
('IA', 67500),
('ME', 70000),
('MI', 70000),
('NE', 70000),
('AL', 75000),
('CO', 80000),
('KS', 80000),
('OH', 80000),
('RI', 80000),
('UT', 80000),
('SC', 82500),
('FL', 83333),
('MO', 86000),
('TN', 86666),
('MN', 90000),
('WI', 90000),
('NC', 90625),
('ON', 92500),
('MA', 103076),
('MD', 105833),
('PA', 108125),
('NH', 110000),
('VA', 110454),
('WA', 111428),
('NY', 112750),
('TX', 114285),
('CT', 115000),
('NJ', 120000),
('OR', 120000),
('IL', 120833),
('CA', 123017),
('DC', 140000)])
plt.rcParams['figure.figsize'] = (20,10)
min_state_names = list(min_state_salaries.keys())
min_state_values = sorted(list(min_state_salaries.values()))
min_state_y_pos = np.arange(len(min_state_names))
plt.barh(min_state_y_pos, min_state_values, align = 'center',alpha = 0.5)
plt.yticks(min_state_y_pos, min_state_names)
plt.xlabel('Expected Salary')
plt.title('Expected Minimum Earnings Per State')
plt.show()
max_state_salaries
OrderedDict([('NV', 67500),
('AZ', 80000),
('RI', 85000),
('ME', 90000),
('IA', 95000),
('MI', 96000),
('IN', 96250),
('AL', 98750),
('KS', 100000),
('UT', 100000),
('TN', 103333),
('CO', 105000),
('MN', 110000),
('NE', 110000),
('FL', 113333),
('MO', 116000),
('NC', 116875),
('OH', 120000),
('WI', 120000),
('SC', 125000),
('ON', 135000),
('PA', 137500),
('MD', 140000),
('NH', 140000),
('NJ', 142500),
('MA', 145769),
('OR', 150000),
('TX', 152142),
('VA', 157272),
('NY', 160875),
('DC', 166666),
('CA', 171686),
('CT', 175000),
('WA', 175714),
('IL', 197500)])
plt.rcParams['figure.figsize'] = (20,10)
max_state_names = list(max_state_salaries.keys())
max_state_values = sorted(list(max_state_salaries.values()))
max_state_y_pos = np.arange(len(max_state_names))
plt.barh(max_state_y_pos, max_state_values, align = 'center',alpha = 0.5)
plt.yticks(max_state_y_pos, max_state_names)
plt.xlabel('Expected Salary')
plt.title('Expected Maximum Earnings Per State')
plt.show()
min_location_df = master_data[master_data['Min_Salary'] != 'Unknown'].reset_index(drop = True)
max_location_df = master_data[master_data['Max_Salary'] != 'Unknown'].reset_index(drop = True)
min_location_set = np.unique(min_location_df['Location'])
max_location_set = np.unique(max_location_df['Location'])
min_location_dict = dict(tuple(min_location_df.groupby('Location')))
max_location_dict = dict(tuple(max_location_df.groupby('Location')))
min_location_salaries = {}
max_location_salaries = {}
for state in min_location_set:
LOCavg_min_salary = int(min_location_dict[state]['Min_Salary'].mean())
min_location_salaries.update({state : LOCavg_min_salary})
for state in max_location_set:
LOCavg_max_salary = int(max_location_dict[state]['Max_Salary'].mean())
max_location_salaries.update({state : LOCavg_max_salary})
min_location_salaries = OrderedDict(sorted(min_location_salaries.items(), key=lambda t: t[1]))
max_location_salaries = OrderedDict(sorted(max_location_salaries.items(), key=lambda t: t[1]))
from collections import Counter
min_location_salaries = collections.Counter(min_location_salaries).most_common(10)
max_location_salaries = collections.Counter(max_location_salaries).most_common(10)
min_location_salaries = OrderedDict(sorted(dict(min_location_salaries).items(), key = lambda t:t[1]))
max_location_salaries = OrderedDict(sorted(dict(max_location_salaries).items(), key = lambda t:t[1]))
min_location_salaries
OrderedDict([('Long Beach, CA', 140000),
('Ventura County, CA', 140000),
('Washington, DC', 140000),
('San Mateo, CA', 142500),
('Brooklyn, NY', 150000),
('Milpitas, CA', 156666),
('Sunnyvale, CA', 158333),
('Palo Alto, CA', 160000),
('Santa Clara, CA', 160000),
('Cupertino, CA', 175000)])
max_location_salaries
OrderedDict([('San Jose, CA', 198636),
('Annapolis Junction, MD', 200000),
('Brooklyn, NY', 200000),
('Fairfield, CT', 200000),
('Santa Clara, CA', 200000),
('Seattle, WA', 205000),
('Palo Alto, CA', 206428),
('Chicago, IL', 220000),
('West Hollywood, CA', 250000),
('Cupertino, CA', 325000)])
plt.rcParams['figure.figsize'] = (15,7.5)
min_location_names = list(min_location_salaries.keys())
min_location_values = sorted(list(min_location_salaries.values()))
min_location_y_pos = np.arange(len(min_location_names))
plt.barh(min_location_y_pos, min_location_values, align = 'center',alpha = 0.5)
plt.yticks(min_location_y_pos, min_location_names)
plt.xlabel('Expected Salary')
plt.title('Top 10 Expected Minimum Earnings Per Location')
plt.show()
plt.rcParams['figure.figsize'] = (15,7.5)
max_location_names = list(max_location_salaries.keys())
max_location_values = sorted(list(max_location_salaries.values()))
max_location_y_pos = np.arange(len(max_location_names))
plt.barh(max_location_y_pos, max_location_values, align = 'center',alpha = 0.5)
plt.yticks(max_location_y_pos, max_location_names)
plt.xlabel('Expected Salary')
plt.title('Top 10 Expected Maximum Earnings Per Location')
plt.show()
min_job_df = master_data[master_data['Min_Salary'] != 'Unknown'].reset_index(drop = True)
max_job_df = master_data[master_data['Max_Salary'] != 'Unknown'].reset_index(drop = True)
min_job_set = np.unique(min_job_df['Search'])
max_job_set = np.unique(max_job_df['Search'])
min_job_dict = dict(tuple(min_job_df.groupby('Search')))
max_job_dict = dict(tuple(max_job_df.groupby('Search')))
min_job_salaries = {}
max_job_salaries = {}
for job in min_job_set:
avg_MINjob_salary = int(min_job_dict[job]['Min_Salary'].mean())
min_job_salaries.update({job : avg_MINjob_salary})
for job in max_job_set:
avg_MAXjob_salary = int(max_job_dict[job]['Max_Salary'].mean())
max_job_salaries.update({job : avg_MAXjob_salary})
min_job_salaries = OrderedDict(sorted(min_job_salaries.items(), key=lambda t: t[1]))
max_job_salaries = OrderedDict(sorted(max_job_salaries.items(), key=lambda t: t[1]))
min_job_salaries
OrderedDict([('Data Analyst', 73793),
('Data Engineer', 114073),
('Business Intelligence', 115757),
('Data Scientist', 121800)])
max_job_salaries
OrderedDict([('Data Analyst', 96428),
('Business Intelligence', 153125),
('Data Engineer', 158706),
('Data Scientist', 176800)])
plt.rcParams['figure.figsize'] = (20,10)
min_job_names = list(min_job_salaries.keys())
min_job_values = sorted(list(min_job_salaries.values()))
min_job_y_pos = np.arange(len(min_job_names))
plt.barh(min_job_y_pos, min_job_values, align = 'center',alpha = 0.5)
plt.yticks(min_job_y_pos, min_job_names)
plt.xlabel('Expected Salary')
plt.title('Expected Minimum Earnings Per Job Type')
plt.show()
plt.rcParams['figure.figsize'] = (20,10)
max_job_names = list(max_job_salaries.keys())
max_job_values = sorted(list(max_job_salaries.values()))
max_job_y_pos = np.arange(len(max_job_names))
plt.barh(max_job_y_pos, max_job_values, align = 'center',alpha = 0.5)
plt.yticks(max_job_y_pos, max_job_names)
plt.xlabel('Expected Salary')
plt.title('Expected Maximum Earnings Per Job Type')
plt.show()
import pandas as pd
import numpy as np
import plotnine as gg
import seaborn as sns
%matplotlib inline
from matplotlib import pyplot as plt
plt.style.use('ggplot')
%matplotlib inline
import geopandas as gpd
import osmnx as ox
import shapely.geometry as geom
df = pd.read_csv('jobs_data.csv')
df.dtypes
Search object Title object Description object Skills object Location object Cities object States object Latitude float64 Longitude float64 Min_Salary object Max_Salary object Mean_Salary object URL object dtype: object
df.Mean_Salary = pd.to_numeric(df.Mean_Salary, errors='coerce')
df.Max_Salary = pd.to_numeric(df.Max_Salary, errors='coerce')
df.Min_Salary= pd.to_numeric(df.Min_Salary, errors='coerce')
df1 = df.dropna(subset = ['Mean_Salary', 'Min_Salary', 'Max_Salary'])
# histogram
plt.figure(figsize=(6,6))
sns.distplot(df1['Mean_Salary'].dropna(),color = 'blue')
<matplotlib.axes._subplots.AxesSubplot at 0x203d2c19f60>
#histogram of price based on different job titles
job_type = df1.Search.unique()
plt.subplots(figsize=(10,8))
for t in np.ndenumerate(job_type):
kind = df1[df1['Search'] == t[1]]
sns.distplot(kind.Mean_Salary.dropna(), label=t[1], norm_hist = True)
sns.set(rc={'figure.figsize':(11.7,8.27)})
plt.legend(loc=2)
plt.title('Histogram of Mean Salary for Different Job Title')
plt.xlabel('Mean Salary')
plt.show()
#histogram of price based on different states
job_type = df1.States.unique()
plt.subplots(figsize=(15,15))
for t in np.ndenumerate(job_type):
kind = df1[df1['States'] == t[1]]
sns.distplot(kind.Mean_Salary.dropna(), label=t[1], norm_hist = True)
sns.set(rc={'figure.figsize':(11.7,8.27)})
plt.legend(loc=2)
plt.title('Histogram of Mean Salary for Different Job Title')
plt.xlabel('Mean Salary')
plt.show()
C:\Users\qxzhao\Anaconda3\lib\site-packages\numpy\core\_methods.py:135: RuntimeWarning: Degrees of freedom <= 0 for slice keepdims=keepdims) C:\Users\qxzhao\Anaconda3\lib\site-packages\numpy\core\_methods.py:127: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) C:\Users\qxzhao\Anaconda3\lib\site-packages\statsmodels\nonparametric\bandwidths.py:22: RuntimeWarning: invalid value encountered in minimum return np.minimum(np.std(X, axis=0, ddof=1), IQR) C:\Users\qxzhao\Anaconda3\lib\site-packages\numpy\core\_methods.py:26: RuntimeWarning: invalid value encountered in reduce return umr_maximum(a, axis, None, out, keepdims) C:\Users\qxzhao\Anaconda3\lib\site-packages\statsmodels\nonparametric\kde.py:494: RuntimeWarning: invalid value encountered in true_divide binned = fast_linbin(X,a,b,gridsize)/(delta*nobs) C:\Users\qxzhao\Anaconda3\lib\site-packages\statsmodels\nonparametric\kdetools.py:34: RuntimeWarning: invalid value encountered in double_scalars FAC1 = 2*(np.pi*bw/RANGE)**2
df1.groupby(['States','Search']).agg({'Mean_Salary': 'mean'}).head()
| Mean_Salary | ||
|---|---|---|
| States | Search | |
| AL | Business Intelligence | 77500.000000 |
| Data Engineer | 90000.000000 | |
| AZ | Data Analyst | 70000.000000 |
| CA | Business Intelligence | 170357.142857 |
| Data Analyst | 99166.666667 |
from scipy.stats import norm
from sklearn.preprocessing import StandardScaler
from scipy import stats
# Pair plot to explore variables
with sns.plotting_context("notebook",font_scale=1.5):
g = sns.pairplot(df1, vars = ['Mean_Salary','Min_Salary','Max_Salary','Longitude','Latitude'], hue='Search',
palette= sns.hls_palette(4),size=2)
g.set(xticklabels=[]);
# seaborn correlation matrix
str_list = []
for colname, colvalue in df1.iteritems():
if type(colvalue[1]) == str:
str_list.append(colname)
# Only compare numerical features
diff_list = df1.columns.difference(str_list)
df2 = df1[diff_list]
f, ax = plt.subplots(figsize=(12, 8))
plt.title('Pearson Correlation Matrix')
sns.heatmap(df2.astype(float).corr(),linewidths=0.25,vmax=1.0, square=True, cmap="GnBu", linecolor='k', annot=True)
plt.show()
from sklearn import linear_model
from sklearn.metrics import mean_squared_error
from sklearn import preprocessing
df2 = df1[['Mean_Salary','Latitude','Longitude']]
df2.dtypes
Mean_Salary float64 Latitude float64 Longitude float64 dtype: object
from sklearn.cross_validation import train_test_split
train_data, test_data = train_test_split(df2, train_size = 0.8, random_state = 10)
Simple Linear Regression (One Variable)
def simple_linear(train, test, feature):
"""simple linear regression function specified for the use of our dataset
Args:
train(dataframe): training dataset
test(dataframe): testing dataset
feature(Series): features in a dataset
Returns:
RMSE(float): Root Mean Squared Error
regr.intercept (float): regression interception
regr.coefficient (float): regression coefficient
"""
regr = linear_model.LinearRegression()
#Train the model
regr.fit(train.as_matrix(columns = [feature]), train.as_matrix(columns = ['Mean_Salary']))
# Calculate the RMSE on test data
RMSE = mean_squared_error(test.as_matrix(columns = ['Mean_Salary']),
regr.predict(test.as_matrix(columns = [feature])))**0.5
return RMSE, regr.intercept_[0], regr.coef_[0][0]
#create an input list, remove the variables we are predicting and non-numerical data
input_list = train_data.columns.values.tolist()
input_list.remove('Mean_Salary')
simple_linear_result = pd.DataFrame(columns = ['feature', 'RMSE', 'intercept', 'coefficient'])
# Calculate the RMSE of the test data for each feature
for p in input_list:
RMSE, w1, w0 = simple_linear(train_data, test_data, p)
simple_linear_result = simple_linear_result.append({'feature':p, 'RMSE':RMSE, 'intercept':w0, 'coefficient': w1}
,ignore_index=True)
simple_linear_result
| feature | RMSE | intercept | coefficient | |
|---|---|---|---|---|
| 0 | Latitude | 41543.143308 | 544.935841 | 112339.426957 |
| 1 | Longitude | 38847.625814 | -483.167004 | 84053.526742 |
#plot scatterplot
plt.figure(figsize=(8, 5))
ax = sns.regplot(x = df2.Latitude, y = df2.Mean_Salary)
plt.title('Latitude vs.Mean_Salary')
plt.xlabel('Latitude')
plt.ylabel('Mean Salary')
plt.tight_layout()
#plot scatterplot
plt.figure(figsize=(8, 5))
ax = sns.regplot(x = df2.Longitude, y = df2.Mean_Salary)
plt.title('Longitude vs.Mean_Salary')
plt.xlabel('Longitude')
plt.ylabel('Mean Salary')
plt.tight_layout()
Multi Linear Regression (Two Variables)
# further split the train_data to include a validation set
#train_data2 = 60%, validation_data = 20%, test_data = 20%
train_data_2, validation_data = train_test_split(train_data, train_size = 0.75, random_state = 50)
def RMSE(train, validation, features, new_input):
"""RMSE specified for the return RMSE of features
Args:
train(dataframe): training dataset
validation(dataframe): validation dataset
feature(Series): features in a dataset
new_input (feature): reminding feature in the dataset
Returns:
RMSE(float): Root Mean Squared Error of train data
RMSE(float): Root Mean Squared Error of validation data
"""
features_list = list(features)
features_list.append(new_input)
regr = linear_model.LinearRegression()
regr.fit(train.as_matrix(columns = features_list), train.as_matrix(columns = ['Mean_Salary'])) # Train the model
RMSE_train = mean_squared_error(train.as_matrix(columns = ['Mean_Salary']),
regr.predict(train.as_matrix(columns = features_list)))**0.5 # Calculate the RMSE on train data
RMSE_validation = mean_squared_error(validation.as_matrix(columns = ['Mean_Salary']),
regr.predict(validation.as_matrix(columns = features_list)))**0.5 # Calculate the RMSE on train data
return RMSE_train, RMSE_validation
input_list = train_data_2.columns.values.tolist()
input_list.remove('Mean_Salary')
greedy_algorithm = pd.DataFrame(columns = ['feature', 'train_error', 'validation_error'])
i = 0
temp_list = []
# Go through all the features in the dataframe
while len(input_list)>0:
# temporarily store the best feature at each iteration
temp = pd.DataFrame(columns = ['feature', 'train_error', 'validation_error'])
# to test all the remaining features
for p in input_list:
RMSE_train, RMSE_validation = RMSE(train_data_2, validation_data, temp_list, p)
temp = temp.append({'feature':p, 'train_error':RMSE_train, 'validation_error':RMSE_validation}, ignore_index=True)
# select the best feature with smallest train error
temp = temp.sort_values('train_error')
best = temp.iloc[0,0]
temp_list.append(best)
greedy_algorithm = greedy_algorithm.append({'feature': best,
'train_error': temp.iloc[0,1], 'validation_error': temp.iloc[0,2]},
ignore_index=True)
#remove the best feature before next iteration
input_list.remove(best)
i += 1
greedy_algorithm
| feature | train_error | validation_error | |
|---|---|---|---|
| 0 | Longitude | 38440.581350 | 31584.593133 |
| 1 | Latitude | 37562.730846 | 32612.850781 |
def multiple_regression_model(train, test, input_features):
"""modifided version of simple linear regression function to take mutliple features
Args:
train(dataframe): training dataset
test(dataframe): testing dataset
input_feature(Series): features in a dataset
Returns:
RMSE(float): Root Mean Squared Error
regr.intercept (float): regression interception
regr.coefficient (float): regression coefficient
"""
regr = linear_model.LinearRegression() # Create a linear regression object
regr.fit(train.as_matrix(columns = input_features), train.as_matrix(columns = ['Mean_Salary'])) # Train the model
RMSE = mean_squared_error(test.as_matrix(columns = ['Mean_Salary']),
regr.predict(test.as_matrix(columns = input_features)))**0.5 # Calculate the RMSE on test data
return RMSE, regr.intercept_[0], regr.coef_
greedy_algo_features_list = greedy_algorithm['feature'].tolist()[:4]
test_error, _, _ = multiple_regression_model(train_data_2, test_data, greedy_algo_features_list)
print ('test error (RMSE) is: %s' %test_error)
test error (RMSE) is: 38388.02845162767
Mean_Salary = -14648.4802 + Longitude x -575.3558 + Latitude x 2448.8531
multiple_regression_model(train_data_2, test_data, greedy_algo_features_list)
(38388.02845162767, -14648.48016281589, array([[-575.35579643, 2448.85309993]]))